Jules code : Feature/add readme files per category

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
+- **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.

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
+
+- **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.

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
+
+- **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.

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
+- **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.

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
+- **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.

DevOps/README.md

@@ -1,3 +1,3 @@
 # DevOps Templates
 
-- **github_commit_jenkins.json** – Uses OpenAI Chat, OpenAI Embeddings, Supabase Vector
+- **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.

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
+- **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.

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
+- **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.

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
+- **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.