A: Okay, M.Digital, that's excellent and very actionable feedback! You're right, showing complete, tested, end-to-end examples is crucial for understanding the real power and helping users build effectively.

Based on your suggestion and the common themes we've seen in discussions, here are 10 video tutorial ideas we can add to the roadmap for the community to vote on:

1. Agent-Driven Automation: New Gmail Email -> Parse Data -> Add to Airtable Record
Description: Shows setting up Gmail & Airtable MCPs, instructing an agent via chat to monitor emails for specific keywords, extract key info (sender, subject, relevant data point), and automatically create/update a record in Airtable. Crucially, demonstrates receiving an email and seeing the Airtable record appear.

2. Content Engine: Google Sheet Topic -> Generate Blog Post (AI) -> Publish to WordPress (MCP)
Description: Demonstrates a workflow triggered by a new row in Google Sheets. It takes a topic, uses an LLM to generate a full blog post, then uses the WordPress MCP to publish it directly to a site, including setting a title and category. Shows the final live blog post.

3. Social Media Repurposing: Scrape Blog URL -> Generate LinkedIn & Facebook Posts (AI) -> Post via MCPs
Description: Shows a workflow scraping a blog URL, using an LLM to create distinct posts suitable for LinkedIn and Facebook, and then using the respective MCPs to post them. Shows the actual posts appearing on the social platforms.

4. Integrating AgenticFlow: Triggering a Workflow from an External Webhook (e.g., Typeform)
Description: Walks through setting up an external service (like Typeform or even Zapier/Pabbly) to send data to AgenticFlow's API endpoint, triggering a workflow, processing the data, and maybe sending a confirmation email. Shows a form submission triggering the AgenticFlow run.

5. Website Lead Capture Bot: Build Agent from URL/FAQ -> Embed on Site -> Send Lead to CRM/Sheet
Description: Covers creating a customer support/lead gen agent trained on website data, embedding the chat widget on a sample page, interacting with it as a visitor, and showing the captured lead information appearing in a connected Google Sheet or basic CRM via MCP.

6. Affiliate Deal Aggregator & Email Digest: Fetch Deals (API/Apify) -> Parse (LLM) -> Send Daily Summary
Description: Simulates fetching affiliate deals (using HTTP node for a sample API or Apify for scraping), uses an LLM to extract key details (product, discount, link), formats them, and sends a daily digest email. Shows the final formatted email.

7. Audio-to-Video Snippet: Upload Audio -> Transcribe (Speech-to-Text) -> Create Simple Video with Captions
Description: Takes an audio file, uses the Speech-to-Text node, generates an image based on the topic (Generate Image node), and uses the Render Video node to create a short video clip with the audio and animated captions. Shows the final generated video.

8. MCP vs. API Call Node: Automating a Google Calendar Event
Description: Clearly demonstrates creating the same Google Calendar event twice: first, easily using the Google Calendar MCP, and second, manually using the API Call node with Google's API details. Highlights the simplicity benefit of MCPs when actions are available.

9. PDF Invoice Processing: Extract Line Items from PDF -> Structure Data (LLM) -> Add to Google Sheets
Description: Uses the PDF text extraction workflow, feeds the text to an LLM specifically prompted to find and format line items (product, quantity, price) into JSON, and then uses the Google Sheets MCP to add these items as new rows. Shows the structured data appearing in the sheet.

10. Basic Competitor Monitoring: Schedule URL Scrape -> Compare Content (LLM) -> Send Slack Alert
Description: Simulates a scheduled run (using API trigger or Table Run) that scrapes a competitor's page, uses an LLM to compare it to previous content (or just summarize), and sends an alert/summary to Slack via the Slack MCP if changes are detected. Shows the Slack message arriving.

We added to the roadmap (https://agenticflow.featurebase.app/).

Please vote on which ones are most helpful! Thanks again for the fantastic suggestion.