diff --git a/AI_ML/README.md b/AI_ML/README.md
index b30fefc..1a14a40 100644
--- a/AI_ML/README.md
+++ b/AI_ML/README.md
@@ -1,12 +1,12 @@
-# AI_ML Templates
+# AI/ML Templates
 
-- **summarize_customer_emails.json** – Uses Anthropic Claude, Cohere Embeddings
-- **daily_content_ideas.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
-- **translate_form_submissions.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **resume_screening.json** – Uses Cohere Embeddings, OpenAI Chat
-- **auto-tag_blog_posts.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **customer_sentiment_analysis.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **image_captioning.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **ticket_urgency_classification.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **product_description_generator.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **voice_note_transcription.json** – Uses Cohere Embeddings, OpenAI Chat
\ No newline at end of file
+- **summarize_customer_emails.json**: This workflow summarizes customer emails. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an Anthropic chat model to summarize emails and appends the summaries to a Google Sheet.
+- **daily_content_ideas.json**: This workflow generates daily content ideas. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to generate content ideas and appends them to a Google Sheet.
+- **translate_form_submissions.json**: This workflow translates form submissions. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to translate the submissions and appends the translations to a Google Sheet.
+- **resume_screening.json**: This workflow screens resumes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to screen resumes and appends the results to a Google Sheet.
+- **auto-tag_blog_posts.json**: This workflow automatically tags blog posts using AI. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to generate the tags and appends them to a Google Sheet.
+- **customer_sentiment_analysis.json**: This workflow analyzes customer sentiment. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to analyze the sentiment and appends the results to a Google Sheet.
+- **image_captioning.json**: This workflow generates captions for images. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to generate captions and appends them to a Google Sheet.
+- **ticket_urgency_classification.json**: This workflow classifies the urgency of support tickets. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to classify ticket urgency and appends the results to a Google Sheet.
+- **product_description_generator.json**: This workflow generates product descriptions. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to generate product descriptions and appends them to a Google Sheet.
+- **voice_note_transcription.json**: This workflow transcribes voice notes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to transcribe the voice notes and appends the transcriptions to a Google Sheet.
diff --git a/Agriculture/README.md b/Agriculture/README.md
index d180a82..aec33ab 100644
--- a/Agriculture/README.md
+++ b/Agriculture/README.md
@@ -1,11 +1,12 @@
 # Agriculture Templates
-- **soil_nutrient_analysis.json** – weaviate/huggingface/huggingface
-- **crop_yield_predictor.json** – supabase/huggingface/openai
-- **pest_outbreak_alert.json** – pinecone/cohere/openai
-- **irrigation_schedule_optimizer.json** – pinecone/openai/huggingface
-- **farm_equipment_maintenance_reminder.json** – weaviate/openai/huggingface
-- **commodity_price_tracker.json** – redis/cohere/anthropic
-- **weather_impact_report.json** – supabase/huggingface/anthropic
-- **drone_image_crop_health.json** – supabase/openai/anthropic
-- **harvest_logbook.json** – pinecone/openai/huggingface
-- **greenhouse_climate_controller.json** – pinecone/huggingface/huggingface
\ No newline at end of file
+
+- **commodity_price_tracker.json**: This workflow tracks commodity prices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses an Anthropic chat model to process the data and appends the results to a Google Sheet.
+- **crop_yield_predictor.json**: This workflow predicts crop yields. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses an OpenAI chat model to predict crop yields and appends the results to a Google Sheet.
+- **drone_image_crop_health.json**: This workflow analyzes crop health from drone images. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to analyze the images and appends the results to a Google Sheet.
+- **farm_equipment_maintenance_reminder.json**: This workflow sends reminders for farm equipment maintenance. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses a Hugging Face chat model to generate reminders and appends them to a Google Sheet.
+- **greenhouse_climate_controller.json**: This workflow controls the climate in a greenhouse. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses a Hugging Face chat model to control the climate and appends the results to a Google Sheet.
+- **harvest_logbook.json**: This workflow maintains a harvest logbook. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses a Hugging Face chat model to manage the logbook and appends the results to a Google Sheet.
+- **irrigation_schedule_optimizer.json**: This workflow optimizes irrigation schedules. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses a Hugging Face chat model to optimize the schedule and appends the results to a Google Sheet.
+- **pest_outbreak_alert.json**: This workflow sends alerts for pest outbreaks. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to send alerts and appends the results to a Google Sheet.
+- **soil_nutrient_analysis.json**: This workflow analyzes soil nutrients. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses a Hugging Face chat model to analyze the nutrients and appends the results to a Google Sheet.
+- **weather_impact_report.json**: This workflow generates weather impact reports. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses an Anthropic chat model to generate reports and appends the results to a Google Sheet.
diff --git a/Automotive/README.md b/Automotive/README.md
index d544cf5..a98fdc0 100644
--- a/Automotive/README.md
+++ b/Automotive/README.md
@@ -1,11 +1,12 @@
 # Automotive Templates
-- **vin_decoder.json** – redis/huggingface/huggingface
-- **ev_battery_degradation_report.json** – redis/cohere/openai
-- **connected_car_alert.json** – redis/openai/openai
-- **dealer_lead_qualifier.json** – pinecone/cohere/huggingface
-- **autonomous_vehicle_log_summarizer.json** – weaviate/huggingface/openai
-- **recall_notice_tracker.json** – pinecone/openai/anthropic
-- **fleet_fuel_efficiency_report.json** – weaviate/huggingface/anthropic
-- **ride‑share_surge_predictor.json** – supabase/cohere/anthropic
-- **adas_event_annotator.json** – supabase/cohere/openai
-- **car_insurance_quote_generator.json** – pinecone/huggingface/anthropic
\ No newline at end of file
+
+- **adas_event_annotator.json**: This workflow annotates ADAS events. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to annotate the events and appends the results to a Google Sheet.
+- **autonomous_vehicle_log_summarizer.json**: This workflow summarizes autonomous vehicle logs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an OpenAI chat model to summarize the logs and appends the results to a Google Sheet.
+- **car_insurance_quote_generator.json**: This workflow generates car insurance quotes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses an Anthropic chat model to generate quotes and appends the results to a Google Sheet.
+- **connected_car_alert.json**: This workflow sends alerts for connected cars. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses an OpenAI chat model to send alerts and appends the results to a Google Sheet.
+- **dealer_lead_qualifier.json**: This workflow qualifies dealer leads. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses a Hugging Face chat model to qualify leads and appends the results to a Google Sheet.
+- **ev_battery_degradation_report.json**: This workflow generates EV battery degradation reports. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses an OpenAI chat model to generate reports and appends the results to a Google Sheet.
+- **fleet_fuel_efficiency_report.json**: This workflow generates fleet fuel efficiency reports. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an Anthropic chat model to generate reports and appends the results to a Google Sheet.
+- **recall_notice_tracker.json**: This workflow tracks recall notices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to track notices and appends the results to a Google Sheet.
+- **ride‑share_surge_predictor.json**: This workflow predicts ride-share surges. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to predict surges and appends the results to a Google Sheet.
+- **vin_decoder.json**: This workflow decodes VINs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Redis. It then uses a Hugging Face chat model to decode VINs and appends the results to a Google Sheet.
diff --git a/Creative_Content/README.md b/Creative_Content/README.md
index d34819a..777bc9c 100644
--- a/Creative_Content/README.md
+++ b/Creative_Content/README.md
@@ -1,3 +1,3 @@
-# Creative_Content Templates
+# Creative Content Templates
 
-- **youtube_transcript_to_blog.json** – Uses Anthropic Claude, OpenAI Embeddings, Pinecone
\ No newline at end of file
+- **youtube_transcript_to_blog.json**: This workflow converts a YouTube transcript to a blog post. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to generate the blog post and appends the results to a Google Sheet.
diff --git a/Data_Analytics/README.md b/Data_Analytics/README.md
index 799df91..06fc6db 100644
--- a/Data_Analytics/README.md
+++ b/Data_Analytics/README.md
@@ -1,3 +1,3 @@
-# Data_Analytics Templates
+# Data Analytics Templates
 
-- **competitor_price_scraper.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
\ No newline at end of file
+- **competitor_price_scraper.json**: This workflow scrapes competitor prices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to process the data and appends the results to a Google Sheet.
diff --git a/DevOps/README.md b/DevOps/README.md
index 31725e5..d69c30b 100644
--- a/DevOps/README.md
+++ b/DevOps/README.md
@@ -1,3 +1,3 @@
 # DevOps Templates
 
-- **github_commit_jenkins.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
\ No newline at end of file
+- **github_commit_jenkins.json**: This workflow triggers a Jenkins job on a GitHub commit. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to process the data and appends the results to a Google Sheet.
diff --git a/E_Commerce_Retail/README.md b/E_Commerce_Retail/README.md
index 781a46e..e206e13 100644
--- a/E_Commerce_Retail/README.md
+++ b/E_Commerce_Retail/README.md
@@ -1,5 +1,5 @@
-# E_Commerce_Retail Templates
+# E-Commerce & Retail Templates
 
-- **shopify_order_sms.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **inventory_slack_alert.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **abandoned_cart_email.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
\ No newline at end of file
+- **abandoned_cart_email.json**: This workflow sends an email to customers who have abandoned their shopping cart. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to generate the email and appends the results to a Google Sheet.
+- **inventory_slack_alert.json**: This workflow sends a Slack alert when inventory is low. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to generate the alert and appends the results to a Google Sheet.
+- **shopify_order_sms.json**: This workflow sends an SMS to customers when their Shopify order is confirmed. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to generate the SMS and appends the results to a Google Sheet.
diff --git a/Education/README.md b/Education/README.md
index ddc3e2f..db5a1f5 100644
--- a/Education/README.md
+++ b/Education/README.md
@@ -1,4 +1,4 @@
 # Education Templates
 
-- **quiz_auto_grader.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **daily_student_motivation.json** – Uses OpenAI Chat, OpenAI Embeddings
\ No newline at end of file
+- **daily_student_motivation.json**: This workflow sends daily motivational messages to students. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to generate the messages and appends the results to a Google Sheet.
+- **quiz_auto_grader.json**: This workflow automatically grades quizzes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to grade the quizzes and appends the results to a Google Sheet.
diff --git a/Email_Automation/README.md b/Email_Automation/README.md
index 660555f..f6c0cae 100644
--- a/Email_Automation/README.md
+++ b/Email_Automation/README.md
@@ -1,12 +1,12 @@
-# Email_Automation Templates
+# Email Automation Templates
 
-- **auto_reply_to_faqs.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **parse_invoice_emails.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **auto_archive_promotions.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **lead_to_hubspot.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **daily_email_digest.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **mailchimp_campaign_tracking.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **product_launch_email.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
-- **forward_attachments.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **sendgrid_bounce_alert.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **follow-up_emails.json** – Uses Anthropic Claude, OpenAI Embeddings
\ No newline at end of file
+- **auto_archive_promotions.json**: This workflow automatically archives promotional emails. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to process the emails and appends the results to a Google Sheet.
+- **auto_reply_to_faqs.json**: This workflow automatically replies to frequently asked questions. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to generate the replies and appends the results to a Google Sheet.
+- **daily_email_digest.json**: This workflow sends a daily digest of emails. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to generate the digest and appends the results to a Google Sheet.
+- **follow-up_emails.json**: This workflow sends follow-up emails. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to generate the emails and appends the results to a Google Sheet.
+- **forward_attachments.json**: This workflow forwards email attachments. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to process the attachments and appends the results to a Google Sheet.
+- **lead_to_hubspot.json**: This workflow adds leads to HubSpot. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to process the leads and appends the results to a Google Sheet.
+- **mailchimp_campaign_tracking.json**: This workflow tracks Mailchimp campaigns. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to track the campaigns and appends the results to a Google Sheet.
+- **parse_invoice_emails.json**: This workflow parses invoice emails. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to parse the emails and appends the results to a Google Sheet.
+- **product_launch_email.json**: This workflow sends product launch emails. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to generate the emails and appends the results to a Google Sheet.
+- **sendgrid_bounce_alert.json**: This workflow sends an alert when a SendGrid email bounces. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to generate the alert and appends the results to a Google Sheet.
diff --git a/Energy/README.md b/Energy/README.md
index 72cd4ea..0ceb867 100644
--- a/Energy/README.md
+++ b/Energy/README.md
@@ -1,11 +1,12 @@
 # Energy Templates
-- **solar_output_forecaster.json** – supabase/huggingface/anthropic
-- **grid_load_alert.json** – supabase/openai/anthropic
-- **fuel_price_monitor.json** – weaviate/huggingface/anthropic
-- **energy_consumption_anomaly_detector.json** – supabase/huggingface/huggingface
-- **carbon_footprint_estimator.json** – pinecone/openai/anthropic
-- **wind_farm_maintenance_scheduler.json** – weaviate/huggingface/openai
-- **battery_health_monitor.json** – redis/huggingface/huggingface
-- **ev_charging_station_locator.json** – supabase/huggingface/anthropic
-- **power_outage_sms.json** – weaviate/openai/openai
-- **renewable_incentive_tracker.json** – pinecone/huggingface/anthropic
\ No newline at end of file
+
+- **battery_health_monitor.json**: This workflow monitors battery health. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Redis. It then uses a Hugging Face chat model to monitor the battery and appends the results to a Google Sheet.
+- **carbon_footprint_estimator.json**: This workflow estimates carbon footprints. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to estimate the footprint and appends the results to a Google Sheet.
+- **energy_consumption_anomaly_detector.json**: This workflow detects anomalies in energy consumption. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses a Hugging Face chat model to detect anomalies and appends the results to a Google Sheet.
+- **ev_charging_station_locator.json**: This workflow locates EV charging stations. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses an Anthropic chat model to locate stations and appends the results to a Google Sheet.
+- **fuel_price_monitor.json**: This workflow monitors fuel prices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an Anthropic chat model to monitor prices and appends the results to a Google Sheet.
+- **grid_load_alert.json**: This workflow sends alerts for grid load. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to send alerts and appends the results to a Google Sheet.
+- **power_outage_sms.json**: This workflow sends SMS alerts for power outages. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to send alerts and appends the results to a Google Sheet.
+- **renewable_incentive_tracker.json**: This workflow tracks renewable incentives. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses an Anthropic chat model to track incentives and appends the results to a Google Sheet.
+- **solar_output_forecaster.json**: This workflow forecasts solar output. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses an Anthropic chat model to forecast output and appends the results to a Google Sheet.
+- **wind_farm_maintenance_scheduler.json**: This workflow schedules wind farm maintenance. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an OpenAI chat model to schedule maintenance and appends the results to a Google Sheet.
diff --git a/Finance_Accounting/README.md b/Finance_Accounting/README.md
index 1e75abe..58dcb95 100644
--- a/Finance_Accounting/README.md
+++ b/Finance_Accounting/README.md
@@ -1,10 +1,10 @@
-# Finance_Accounting Templates
+# Finance & Accounting Templates
 
-- **stripe_to_quickbooks.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **ocr_receipts_to_notion.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **weekly_shopify_sales_summary.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **currency_rate_monitor.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **monthly_expense_report.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **unpaid_invoice_reminder.json** – Uses Cohere Embeddings, OpenAI Chat
-- **paypal_to_airtable.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **transaction_logs_backup.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
\ No newline at end of file
+- **currency_rate_monitor.json**: This workflow monitors currency rates. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to monitor the rates and appends the results to a Google Sheet.
+- **monthly_expense_report.json**: This workflow generates monthly expense reports. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to generate the reports and appends the results to a Google Sheet.
+- **ocr_receipts_to_notion.json**: This workflow uses OCR to read receipts and save them to Notion. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to process the receipts and appends the results to a Google Sheet.
+- **paypal_to_airtable.json**: This workflow sends PayPal data to Airtable. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to process the data and appends the results to a Google Sheet.
+- **stripe_to_quickbooks.json**: This workflow sends Stripe data to QuickBooks. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to process the data and appends the results to a Google Sheet.
+- **transaction_logs_backup.json**: This workflow backs up transaction logs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to back up the logs and appends the results to a Google Sheet.
+- **unpaid_invoice_reminder.json**: This workflow sends reminders for unpaid invoices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to send the reminders and appends the results to a Google Sheet.
+- **weekly_shopify_sales_summary.json**: This workflow generates a weekly summary of Shopify sales. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to generate the summary and appends the results to a Google Sheet.
diff --git a/Gaming/README.md b/Gaming/README.md
index 6174d50..66cc298 100644
--- a/Gaming/README.md
+++ b/Gaming/README.md
@@ -1,11 +1,12 @@
 # Gaming Templates
-- **player_sentiment_dashboard.json** – supabase/huggingface/anthropic
-- **twitch_clip_highlights_script.json** – weaviate/cohere/huggingface
-- **in‑game_event_reminder.json** – supabase/openai/anthropic
-- **patch_note_summarizer.json** – weaviate/cohere/huggingface
-- **esports_match_alert.json** – weaviate/huggingface/openai
-- **loot‑box_probability_calculator.json** – pinecone/cohere/openai
-- **discord_guild_welcome_bot.json** – weaviate/openai/huggingface
-- **game_bug_triage.json** – redis/cohere/huggingface
-- **achievement_suggestion_engine.json** – supabase/huggingface/huggingface
-- **virtual_economy_price_tracker.json** – pinecone/cohere/huggingface
\ No newline at end of file
+
+- **achievement_suggestion_engine.json**: This workflow suggests achievements to players. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses a Hugging Face chat model to suggest achievements and appends the results to a Google Sheet.
+- **discord_guild_welcome_bot.json**: This workflow welcomes new members to a Discord guild. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses a Hugging Face chat model to welcome new members and appends the results to a Google Sheet.
+- **esports_match_alert.json**: This workflow sends alerts for eSports matches. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an OpenAI chat model to send alerts and appends the results to a Google Sheet.
+- **game_bug_triage.json**: This workflow triages game bugs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses a Hugging Face chat model to triage bugs and appends the results to a Google Sheet.
+- **in‑game_event_reminder.json**: This workflow sends reminders for in-game events. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to send reminders and appends the results to a Google Sheet.
+- **loot‑box_probability_calculator.json**: This workflow calculates the probability of getting a certain item from a loot box. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to calculate the probability and appends the results to a Google Sheet.
+- **patch_note_summarizer.json**: This workflow summarizes patch notes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses a Hugging Face chat model to summarize the patch notes and appends the results to a Google Sheet.
+- **player_sentiment_dashboard.json**: This workflow creates a player sentiment dashboard. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses an Anthropic chat model to create the dashboard and appends the results to a Google Sheet.
+- **twitch_clip_highlights_script.json**: This workflow creates a script for Twitch clip highlights. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses a Hugging Face chat model to create the script and appends the results to a Google Sheet.
+- **virtual_economy_price_tracker.json**: This workflow tracks prices in a virtual economy. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses a Hugging Face chat model to track the prices and appends the results to a Google Sheet.
diff --git a/Government_NGO/README.md b/Government_NGO/README.md
index e106db9..7a8f18a 100644
--- a/Government_NGO/README.md
+++ b/Government_NGO/README.md
@@ -1,4 +1,4 @@
-# Government_NGO Templates
+# Government & NGO Templates
 
-- **public_form_auto_triage.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **public_record_email_update.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
\ No newline at end of file
+- **public_form_auto_triage.json**: This workflow automatically triages public forms. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to triage the forms and appends the results to a Google Sheet.
+- **public_record_email_update.json**: This workflow sends email updates for public records. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to send the updates and appends the results to a Google Sheet.
diff --git a/HR/README.md b/HR/README.md
index df17c59..fadd0ed 100644
--- a/HR/README.md
+++ b/HR/README.md
@@ -1,4 +1,4 @@
 # HR Templates
 
-- **new_job_application_parser.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **notion_job_board_poster.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
\ No newline at end of file
+- **new_job_application_parser.json**: This workflow parses new job applications. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to parse the applications and appends the results to a Google Sheet.
+- **notion_job_board_poster.json**: This workflow posts jobs to a Notion job board. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to post the jobs and appends the results to a Google Sheet.
diff --git a/Healthcare/README.md b/Healthcare/README.md
index b0feb4c..ae54a36 100644
--- a/Healthcare/README.md
+++ b/Healthcare/README.md
@@ -1,3 +1,3 @@
 # Healthcare Templates
 
-- **appointment_whatsapp_notify.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
\ No newline at end of file
+- **appointment_whatsapp_notify.json**: This workflow sends a WhatsApp notification for an appointment. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to generate the notification and appends the results to a Google Sheet.
diff --git a/IoT/README.md b/IoT/README.md
index d823980..115dada 100644
--- a/IoT/README.md
+++ b/IoT/README.md
@@ -1,11 +1,12 @@
 # IoT Templates
-- **sensor_fault_detector.json** – supabase/openai/huggingface
-- **smart_home_energy_saver.json** – supabase/cohere/huggingface
-- **iot_device_firmware_update_planner.json** – pinecone/huggingface/openai
-- **environmental_data_dashboard.json** – weaviate/openai/openai
-- **predictive_maintenance_alert.json** – weaviate/openai/openai
-- **edge_device_log_compressor.json** – redis/cohere/anthropic
-- **mqtt_topic_monitor.json** – redis/openai/huggingface
-- **ble_beacon_mapper.json** – pinecone/huggingface/openai
-- **industrial_iot_kpi_email.json** – redis/cohere/openai
-- **vehicle_telematics_analyzer.json** – redis/openai/huggingface
\ No newline at end of file
+
+- **ble_beacon_mapper.json**: This workflow maps BLE beacons. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses an OpenAI chat model to map the beacons and appends the results to a Google Sheet.
+- **edge_device_log_compressor.json**: This workflow compresses edge device logs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses an Anthropic chat model to compress the logs and appends the results to a Google Sheet.
+- **environmental_data_dashboard.json**: This workflow creates an environmental data dashboard. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to create the dashboard and appends the results to a Google Sheet.
+- **industrial_iot_kpi_email.json**: This workflow sends an email with industrial IoT KPIs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses an OpenAI chat model to generate the email and appends the results to a Google Sheet.
+- **iot_device_firmware_update_planner.json**: This workflow plans firmware updates for IoT devices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses an OpenAI chat model to plan the updates and appends the results to a Google Sheet.
+- **mqtt_topic_monitor.json**: This workflow monitors MQTT topics. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses a Hugging Face chat model to monitor the topics and appends the results to a Google Sheet.
+- **predictive_maintenance_alert.json**: This workflow sends predictive maintenance alerts. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to send the alerts and appends the results to a Google Sheet.
+- **sensor_fault_detector.json**: This workflow detects sensor faults. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses a Hugging Face chat model to detect the faults and appends the results to a Google Sheet.
+- **smart_home_energy_saver.json**: This workflow saves energy in a smart home. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses a Hugging Face chat model to save energy and appends the results to a Google Sheet.
+- **vehicle_telematics_analyzer.json**: This workflow analyzes vehicle telematics. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses a Hugging Face chat model to analyze the telematics and appends the results to a Google Sheet.
diff --git a/Legal_Tech/README.md b/Legal_Tech/README.md
index eae1e80..413e3ef 100644
--- a/Legal_Tech/README.md
+++ b/Legal_Tech/README.md
@@ -1,11 +1,12 @@
-# Legal_Tech Templates
-- **contract_clause_extractor.json** – weaviate/cohere/openai
-- **case_law_summarizer.json** – supabase/cohere/openai
-- **nda_risk_detector.json** – redis/huggingface/openai
-- **trademark_status_monitor.json** – pinecone/huggingface/huggingface
-- **court_date_reminder.json** – supabase/cohere/openai
-- **compliance_checklist_builder.json** – pinecone/openai/huggingface
-- **legal_billing_analyzer.json** – redis/cohere/anthropic
-- **privacy_policy_generator.json** – redis/cohere/anthropic
-- **patent_abstract_summarizer.json** – supabase/openai/openai
-- **gdpr_violation_alert.json** – supabase/openai/huggingface
\ No newline at end of file
+# Legal Tech Templates
+
+- **case_law_summarizer.json**: This workflow summarizes case law. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to summarize the case law and appends the results to a Google Sheet.
+- **compliance_checklist_builder.json**: This workflow builds a compliance checklist. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses a Hugging Face chat model to build the checklist and appends the results to a Google Sheet.
+- **contract_clause_extractor.json**: This workflow extracts clauses from contracts. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to extract the clauses and appends the results to a Google Sheet.
+- **court_date_reminder.json**: This workflow sends court date reminders. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to send the reminders and appends the results to a Google Sheet.
+- **gdpr_violation_alert.json**: This workflow sends alerts for GDPR violations. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses a Hugging Face chat model to send the alerts and appends the results to a Google Sheet.
+- **legal_billing_analyzer.json**: This workflow analyzes legal billing. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses an Anthropic chat model to analyze the billing and appends the results to a Google Sheet.
+- **nda_risk_detector.json**: This workflow detects risks in NDAs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Redis. It then uses an OpenAI chat model to detect the risks and appends the results to a Google Sheet.
+- **patent_abstract_summarizer.json**: This workflow summarizes patent abstracts. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to summarize the abstracts and appends the results to a Google Sheet.
+- **privacy_policy_generator.json**: This workflow generates privacy policies. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses an Anthropic chat model to generate the policies and appends the results to a Google Sheet.
+- **trademark_status_monitor.json**: This workflow monitors trademark statuses. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses a Hugging Face chat model to monitor the statuses and appends the results to a Google Sheet.
diff --git a/Manufacturing/README.md b/Manufacturing/README.md
index 1c783ff..46575b8 100644
--- a/Manufacturing/README.md
+++ b/Manufacturing/README.md
@@ -1,11 +1,12 @@
 # Manufacturing Templates
-- **machine_downtime_predictor.json** – weaviate/openai/anthropic
-- **inventory_restock_forecast.json** – supabase/cohere/anthropic
-- **quality_defect_classifier.json** – redis/openai/anthropic
-- **safety_incident_alert.json** – redis/huggingface/huggingface
-- **production_kpi_dashboard.json** – weaviate/cohere/openai
-- **supply_chain_delay_monitor.json** – supabase/cohere/openai
-- **maintenance_ticket_router.json** – supabase/cohere/huggingface
-- **shift_handover_summary.json** – supabase/huggingface/huggingface
-- **mes_log_analyzer.json** – weaviate/huggingface/openai
-- **packaging_waste_calculator.json** – redis/openai/anthropic
\ No newline at end of file
+
+- **inventory_restock_forecast.json**: This workflow forecasts inventory restock. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to forecast the restock and appends the results to a Google Sheet.
+- **machine_downtime_predictor.json**: This workflow predicts machine downtime. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to predict the downtime and appends the results to a Google Sheet.
+- **maintenance_ticket_router.json**: This workflow routes maintenance tickets. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses a Hugging Face chat model to route the tickets and appends the results to a Google Sheet.
+- **mes_log_analyzer.json**: This workflow analyzes MES logs. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an OpenAI chat model to analyze the logs and appends the results to a Google Sheet.
+- **packaging_waste_calculator.json**: This workflow calculates packaging waste. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses an Anthropic chat model to calculate the waste and appends the results to a Google Sheet.
+- **production_kpi_dashboard.json**: This workflow creates a production KPI dashboard. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to create the dashboard and appends the results to a Google Sheet.
+- **quality_defect_classifier.json**: This workflow classifies quality defects. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses an Anthropic chat model to classify the defects and appends the results to a Google Sheet.
+- **safety_incident_alert.json**: This workflow sends alerts for safety incidents. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Redis. It then uses a Hugging Face chat model to send the alerts and appends the results to a Google Sheet.
+- **shift_handover_summary.json**: This workflow summarizes shift handovers. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses a Hugging Face chat model to summarize the handovers and appends the results to a Google Sheet.
+- **supply_chain_delay_monitor.json**: This workflow monitors supply chain delays. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to monitor the delays and appends the results to a Google Sheet.
diff --git a/Media/README.md b/Media/README.md
index ec1c842..5159fc6 100644
--- a/Media/README.md
+++ b/Media/README.md
@@ -1,11 +1,12 @@
 # Media Templates
-- **podcast_show_notes_generator.json** – supabase/cohere/openai
-- **tv_rating_trend_report.json** – redis/huggingface/huggingface
-- **breaking_news_summarizer.json** – weaviate/huggingface/openai
-- **ad_campaign_performance_alert.json** – pinecone/cohere/openai
-- **content_idea_brainstormer.json** – redis/openai/anthropic
-- **script_dialogue_analyzer.json** – pinecone/huggingface/openai
-- **music_playlist_mood_tagger.json** – redis/openai/openai
-- **live_stream_chat_moderator.json** – supabase/openai/anthropic
-- **social_buzz_heatmap.json** – supabase/openai/huggingface
-- **pr_crisis_detector.json** – redis/openai/huggingface
\ No newline at end of file
+
+- **ad_campaign_performance_alert.json**: This workflow sends an alert about ad campaign performance. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to generate the alert and appends the results to a Google Sheet.
+- **breaking_news_summarizer.json**: This workflow summarizes breaking news. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an OpenAI chat model to summarize the news and appends the results to a Google Sheet.
+- **content_idea_brainstormer.json**: This workflow brainstorms content ideas. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses an Anthropic chat model to brainstorm ideas and appends the results to a Google Sheet.
+- **live_stream_chat_moderator.json**: This workflow moderates a live stream chat. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to moderate the chat and appends the results to a Google Sheet.
+- **music_playlist_mood_tagger.json**: This workflow tags music playlists with moods. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses an OpenAI chat model to tag the playlists and appends the results to a Google Sheet.
+- **podcast_show_notes_generator.json**: This workflow generates podcast show notes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to generate the show notes and appends the results to a Google Sheet.
+- **pr_crisis_detector.json**: This workflow detects PR crises. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses a Hugging Face chat model to detect the crises and appends the results to a Google Sheet.
+- **script_dialogue_analyzer.json**: This workflow analyzes script dialogue. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses an OpenAI chat model to analyze the dialogue and appends the results to a Google Sheet.
+- **social_buzz_heatmap.json**: This workflow creates a social buzz heatmap. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses a Hugging Face chat model to create the heatmap and appends the results to a Google Sheet.
+- **tv_rating_trend_report.json**: This workflow generates a TV rating trend report. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Redis. It then uses a Hugging Face chat model to generate the report and appends the results to a Google Sheet.
diff --git a/Misc/README.md b/Misc/README.md
index aba4c4a..7c843a9 100644
--- a/Misc/README.md
+++ b/Misc/README.md
@@ -1,50 +1,50 @@
-# Misc Templates
+# Miscellaneous Templates
 
-- **customer_auto-tagging.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **etsy_review_to_slack.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **price_update_google_sheet.json** – Uses Cohere Embeddings, OpenAI Chat
-- **return_ticket_assignment.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
-- **order_shipped_notification.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **woo_order_mailchimp.json** – Uses Cohere Embeddings, OpenAI Chat
-- **low_stock_discord.json** – Uses Anthropic Claude, OpenAI Embeddings, Pinecone
-- **notion_api_update.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **csv_attachment_to_airtable.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **ga_report_email.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **rss_headlines_slack.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **keyword_rank_checker.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **api_stats_chart.json** – Uses Anthropic Claude, OpenAI Embeddings, Pinecone
-- **json_to_sheet.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **server_health_grafana.json** – Uses Anthropic Claude, Cohere Embeddings
-- **hourly_weather_log.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **course_completion_certificate.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **zoom_attendance_log.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **assignment_sms_reminder.json** – Uses Cohere Embeddings, OpenAI Chat
-- **interview_scheduler.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **onboarding_checklist_slack.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **applicant_feedback_folder.json** – Uses Anthropic Claude, OpenAI Embeddings, Pinecone
-- **medication_sms_reminder.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **fitness_api_weekly_report.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
-- **crm_patient_intake.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **blood_test_email_alert.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **api_monitor_auto_restart.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **cron_success_slack.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **pr_merged_qa_notify.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **issue_trello_card.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **voice_task_to_notion.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **toggl_daily_report.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **calendar_to_clickup.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **starred_slack_to_notion.json** – Uses Cohere Embeddings, OpenAI Chat
-- **birthday_telegram_reminder.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **drink_water_reminder.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **habit_form_weekly_summary.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **weekly_notes_backup.json** – Uses Cohere Embeddings, OpenAI Chat
-- **calendar_event_auto-tag.json** – Uses OpenAI Chat, OpenAI Embeddings
-- **disaster_api_sms.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **survey_auto_analyze.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
-- **grant_application_routing.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **idea_to_ig_carousel.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **podcast_transcribe_publish.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **unsplash_to_pinterest.json** – Uses Cohere Embeddings, OpenAI Chat, Supabase Vector
-- **blog_comment_discord.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **record_crypto_prices.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
-- **bank_sms_alert_to_telegram.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
\ No newline at end of file
+- **api_monitor_auto_restart.json**: This workflow monitors an API and automatically restarts it if it's down. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to monitor the API and appends the results to a Google Sheet.
+- **api_stats_chart.json**: This workflow creates a chart of API stats. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to create the chart and appends the results to a Google Sheet.
+- **applicant_feedback_folder.json**: This workflow creates a folder for applicant feedback. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to create the folder and appends the results to a Google Sheet.
+- **assignment_sms_reminder.json**: This workflow sends an SMS reminder for an assignment. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to send the reminder and appends the results to a Google Sheet.
+- **bank_sms_alert_to_telegram.json**: This workflow sends a Telegram message for a bank SMS alert. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to send the message and appends the results to a Google Sheet.
+- **birthday_telegram_reminder.json**: This workflow sends a Telegram reminder for a birthday. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to send the reminder and appends the results to a Google Sheet.
+- **blog_comment_discord.json**: This workflow sends a Discord message for a new blog comment. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to send the message and appends the results to a Google Sheet.
+- **blood_test_email_alert.json**: This workflow sends an email alert for a blood test. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to send the alert and appends the results to a Google Sheet.
+- **calendar_event_auto-tag.json**: This workflow automatically tags calendar events. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to tag the events and appends the results to a Google Sheet.
+- **calendar_to_clickup.json**: This workflow sends calendar events to ClickUp. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to send the events and appends the results to a Google Sheet.
+- **course_completion_certificate.json**: This workflow generates a course completion certificate. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to generate the certificate and appends the results to a Google Sheet.
+- **crm_patient_intake.json**: This workflow intakes patients into a CRM. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to intake the patients and appends the results to a Google Sheet.
+- **cron_success_slack.json**: This workflow sends a Slack message when a cron job succeeds. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to send the message and appends the results to a Google Sheet.
+- **csv_attachment_to_airtable.json**: This workflow sends CSV attachments to Airtable. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to send the attachments and appends the results to a Google Sheet.
+- **customer_auto-tagging.json**: This workflow automatically tags customers. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to tag the customers and appends the results to a Google Sheet.
+- **disaster_api_sms.json**: This workflow sends an SMS from a disaster API. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to send the SMS and appends the results to a Google Sheet.
+- **drink_water_reminder.json**: This workflow sends a reminder to drink water. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to send the reminder and appends the results to a Google Sheet.
+- **etsy_review_to_slack.json**: This workflow sends Etsy reviews to Slack. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to send the reviews and appends the results to a Google Sheet.
+- **fitness_api_weekly_report.json**: This workflow generates a weekly report from a fitness API. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to generate the report and appends the results to a Google Sheet.
+- **ga_report_email.json**: This workflow sends a Google Analytics report via email. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to send the report and appends the results to a Google Sheet.
+- **grant_application_routing.json**: This workflow routes grant applications. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to route the applications and appends the results to a Google Sheet.
+- **habit_form_weekly_summary.json**: This workflow generates a weekly summary of a habit form. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to generate the summary and appends the results to a Google Sheet.
+- **hourly_weather_log.json**: This workflow logs the hourly weather. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to log the weather and appends the results to a Google Sheet.
+- **idea_to_ig_carousel.json**: This workflow creates an Instagram carousel from an idea. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to create the carousel and appends the results to a Google Sheet.
+- **interview_scheduler.json**: This workflow schedules interviews. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to schedule the interviews and appends the results to a Google Sheet.
+- **issue_trello_card.json**: This workflow creates a Trello card for an issue. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to create the card and appends the results to a Google Sheet.
+- **json_to_sheet.json**: This workflow sends JSON data to a Google Sheet. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to send the data and appends the results to a Google Sheet.
+- **keyword_rank_checker.json**: This workflow checks keyword ranks. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to check the ranks and appends the results to a Google Sheet.
+- **low_stock_discord.json**: This workflow sends a Discord message for low stock. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to send the message and appends the results to a Google Sheet.
+- **medication_sms_reminder.json**: This workflow sends an SMS reminder for medication. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to send the reminder and appends the results to a Google Sheet.
+- **notion_api_update.json**: This workflow updates a Notion API. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to update the API and appends the results to a Google Sheet.
+- **onboarding_checklist_slack.json**: This workflow sends an onboarding checklist to Slack. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to send the checklist and appends the results to a Google Sheet.
+- **order_shipped_notification.json**: This workflow sends a notification when an order is shipped. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to send the notification and appends the results to a Google Sheet.
+- **podcast_transcribe_publish.json**: This workflow transcribes and publishes a podcast. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to transcribe and publish the podcast and appends the results to a Google Sheet.
+- **pr_merged_qa_notify.json**: This workflow sends a notification to QA when a PR is merged. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to send the notification and appends the results to a Google Sheet.
+- **price_update_google_sheet.json**: This workflow updates a Google Sheet with price updates. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to update the sheet and appends the results to a Google Sheet.
+- **record_crypto_prices.json**: This workflow records crypto prices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to record the prices and appends the results to a Google Sheet.
+- **return_ticket_assignment.json**: This workflow assigns return tickets. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to assign the tickets and appends the results to a Google Sheet.
+- **rss_headlines_slack.json**: This workflow sends RSS headlines to Slack. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to send the headlines and appends the results to a Google Sheet.
+- **server_health_grafana.json**: This workflow sends server health data to Grafana. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an Anthropic chat model to send the data and appends the results to a Google Sheet.
+- **starred_slack_to_notion.json**: This workflow sends starred Slack messages to Notion. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to send the messages and appends the results to a Google Sheet.
+- **survey_auto_analyze.json**: This workflow automatically analyzes surveys. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to analyze the surveys and appends the results to a Google Sheet.
+- **toggl_daily_report.json**: This workflow generates a daily report from Toggl. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to generate the report and appends the results to a Google Sheet.
+- **unsplash_to_pinterest.json**: This workflow posts images from Unsplash to Pinterest. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to post the images and appends the results to a Google Sheet.
+- **voice_task_to_notion.json**: This workflow sends voice tasks to Notion. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an OpenAI chat model to send the tasks and appends the results to a Google Sheet.
+- **weekly_notes_backup.json**: This workflow backs up weekly notes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to back up the notes and appends the results to a Google Sheet.
+- **woo_order_mailchimp.json**: This workflow sends WooCommerce orders to Mailchimp. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an OpenAI chat model to send the orders and appends the results to a Google Sheet.
+- **zoom_attendance_log.json**: This workflow logs Zoom attendance. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to log the attendance and appends the results to a Google Sheet.
diff --git a/Productivity/README.md b/Productivity/README.md
index 80bbd11..7fc4f6f 100644
--- a/Productivity/README.md
+++ b/Productivity/README.md
@@ -1,3 +1,3 @@
 # Productivity Templates
 
-- **morning_briefing_email.json** – Uses Anthropic Claude, Cohere Embeddings, Supabase Vector
\ No newline at end of file
+- **morning_briefing_email.json**: This workflow sends a morning briefing email. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to generate the email and appends the results to a Google Sheet.
diff --git a/Real_Estate/README.md b/Real_Estate/README.md
index d4d9508..4661837 100644
--- a/Real_Estate/README.md
+++ b/Real_Estate/README.md
@@ -1,11 +1,12 @@
-# Real_Estate Templates
-- **lead_scoring_with_mls_data.json** – pinecone/openai/huggingface
-- **rental_price_estimator.json** – supabase/cohere/anthropic
-- **neighborhood_safety_insights.json** – redis/huggingface/anthropic
-- **mortgage_rate_alert.json** – pinecone/openai/huggingface
-- **property_description_generator.json** – supabase/huggingface/huggingface
-- **tenant_screening_summary.json** – pinecone/cohere/huggingface
-- **open_house_reminder.json** – supabase/cohere/openai
-- **real_estate_market_trend_report.json** – weaviate/cohere/anthropic
-- **hoa_fee_analyzer.json** – weaviate/huggingface/anthropic
-- **zoning_regulation_checker.json** – redis/openai/huggingface
\ No newline at end of file
+# Real Estate Templates
+
+- **hoa_fee_analyzer.json**: This workflow analyzes HOA fees. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses an Anthropic chat model to analyze the fees and appends the results to a Google Sheet.
+- **lead_scoring_with_mls_data.json**: This workflow scores leads with MLS data. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses a Hugging Face chat model to score the leads and appends the results to a Google Sheet.
+- **mortgage_rate_alert.json**: This workflow sends mortgage rate alerts. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses a Hugging Face chat model to send the alerts and appends the results to a Google Sheet.
+- **neighborhood_safety_insights.json**: This workflow provides neighborhood safety insights. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Redis. It then uses an Anthropic chat model to provide the insights and appends the results to a Google Sheet.
+- **open_house_reminder.json**: This workflow sends open house reminders. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to send the reminders and appends the results to a Google Sheet.
+- **property_description_generator.json**: This workflow generates property descriptions. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Supabase. It then uses a Hugging Face chat model to generate the descriptions and appends the results to a Google Sheet.
+- **real_estate_market_trend_report.json**: This workflow generates real estate market trend reports. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an Anthropic chat model to generate the reports and appends the results to a Google Sheet.
+- **rental_price_estimator.json**: This workflow estimates rental prices. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to estimate the prices and appends the results to a Google Sheet.
+- **tenant_screening_summary.json**: This workflow summarizes tenant screenings. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses a Hugging Face chat model to summarize the screenings and appends the results to a Google Sheet.
+- **zoning_regulation_checker.json**: This workflow checks zoning regulations. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Redis. It then uses a Hugging Face chat model to check the regulations and appends the results to a Google Sheet.
diff --git a/Social_Media/README.md b/Social_Media/README.md
index 057ea50..e1a82ff 100644
--- a/Social_Media/README.md
+++ b/Social_Media/README.md
@@ -1,12 +1,12 @@
-# Social_Media Templates
+# Social Media Templates
 
-- **auto-post_blogs_to_linkedin_and_twitter.json** – Uses Anthropic Claude, OpenAI Embeddings, Supabase Vector
-- **schedule_instagram_content_from_airtable.json** – Uses Anthropic Claude, OpenAI Embeddings, Pinecone
-- **log_twitter_mentions_in_notion.json** – Uses Anthropic Claude, Cohere Embeddings
-- **cross-post_youtube_uploads_to_facebook.json** – Uses Anthropic Claude, OpenAI Embeddings, Pinecone
-- **alert_on_instagram_competitor_story.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
-- **auto-dm_new_twitter_followers.json** – Uses Cohere Embeddings, OpenAI Chat, Pinecone
-- **monthly_social_media_report.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **reddit_upvote_alert.json** – Uses Anthropic Claude, OpenAI Embeddings
-- **auto-reply_to_tiktok_comments.json** – Uses Anthropic Claude, Cohere Embeddings, Pinecone
-- **youtube_comment_summarizer.json** – Uses OpenAI Chat, OpenAI Embeddings, Pinecone
\ No newline at end of file
+- **alert_on_instagram_competitor_story.json**: This workflow sends an alert when a competitor posts a story on Instagram. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an OpenAI chat model to generate the alert and appends the results to a Google Sheet.
+- **auto-dm_new_twitter_followers.json**: This workflow automatically sends a direct message to new Twitter followers. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an OpenAI chat model to generate the message and appends the results to a Google Sheet.
+- **auto-post_blogs_to_linkedin_and_twitter.json**: This workflow automatically posts blogs to LinkedIn and Twitter. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to post the blogs and appends the results to a Google Sheet.
+- **auto-reply_to_tiktok_comments.json**: This workflow automatically replies to TikTok comments. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to generate the replies and appends the results to a Google Sheet.
+- **cross-post_youtube_uploads_to_facebook.json**: This workflow cross-posts YouTube uploads to Facebook. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to post the videos and appends the results to a Google Sheet.
+- **log_twitter_mentions_in_notion.json**: This workflow logs Twitter mentions in Notion. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an Anthropic chat model to log the mentions and appends the results to a Google Sheet.
+- **monthly_social_media_report.json**: This workflow generates a monthly social media report. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to generate the report and appends the results to a Google Sheet.
+- **reddit_upvote_alert.json**: This workflow sends an alert when a Reddit post gets a certain number of upvotes. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses an Anthropic chat model to send the alert and appends the results to a Google Sheet.
+- **schedule_instagram_content_from_airtable.json**: This workflow schedules Instagram content from Airtable. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to schedule the content and appends the results to a Google Sheet.
+- **youtube_comment_summarizer.json**: This workflow summarizes YouTube comments. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an OpenAI chat model to summarize the comments and appends the results to a Google Sheet.
diff --git a/Travel/README.md b/Travel/README.md
index 5fb1b23..c7b951a 100644
--- a/Travel/README.md
+++ b/Travel/README.md
@@ -1,11 +1,12 @@
 # Travel Templates
-- **flight_price_drop_alert.json** – weaviate/openai/huggingface
-- **local_attraction_recommender.json** – pinecone/cohere/anthropic
-- **weather_packing_list_generator.json** – supabase/openai/anthropic
-- **visa_requirement_checker.json** – weaviate/cohere/anthropic
-- **hotel_review_sentiment.json** – pinecone/huggingface/huggingface
-- **travel_itinerary_builder.json** – supabase/cohere/openai
-- **currency_exchange_estimator.json** – weaviate/huggingface/huggingface
-- **airport_lounge_finder.json** – redis/cohere/huggingface
-- **travel_advisory_monitor.json** – pinecone/openai/anthropic
-- **road_trip_stop_planner.json** – supabase/cohere/anthropic
\ No newline at end of file
+
+- **airport_lounge_finder.json**: This workflow finds airport lounges. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Redis. It then uses a Hugging Face chat model to find the lounges and appends the results to a Google Sheet.
+- **currency_exchange_estimator.json**: This workflow estimates currency exchange rates. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Weaviate. It then uses a Hugging Face chat model to estimate the rates and appends the results to a Google Sheet.
+- **flight_price_drop_alert.json**: This workflow sends an alert when a flight price drops. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Weaviate. It then uses a Hugging Face chat model to send the alert and appends the results to a Google Sheet.
+- **hotel_review_sentiment.json**: This workflow analyzes hotel review sentiment. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Hugging Face, and stores them in Pinecone. It then uses a Hugging Face chat model to analyze the sentiment and appends the results to a Google Sheet.
+- **local_attraction_recommender.json**: This workflow recommends local attractions. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Pinecone. It then uses an Anthropic chat model to recommend attractions and appends the results to a Google Sheet.
+- **road_trip_stop_planner.json**: This workflow plans road trip stops. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an Anthropic chat model to plan the stops and appends the results to a Google Sheet.
+- **travel_advisory_monitor.json**: This workflow monitors travel advisories. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Pinecone. It then uses an Anthropic chat model to monitor the advisories and appends the results to a Google Sheet.
+- **travel_itinerary_builder.json**: This workflow builds a travel itinerary. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Supabase. It then uses an OpenAI chat model to build the itinerary and appends the results to a Google Sheet.
+- **visa_requirement_checker.json**: This workflow checks visa requirements. It uses a webhook to trigger the workflow, splits the text, creates embeddings using Cohere, and stores them in Weaviate. It then uses an Anthropic chat model to check the requirements and appends the results to a Google Sheet.
+- **weather_packing_list_generator.json**: This workflow generates a packing list based on the weather. It uses a webhook to trigger the workflow, splits the text, creates embeddings using OpenAI, and stores them in Supabase. It then uses an Anthropic chat model to generate the list and appends the results to a Google Sheet.