Monitor AI Feature Promises → Track Delivery → Generate Accountability Reports

advanced45 minPublished May 6, 2026
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Track tech company AI announcements, monitor actual feature rollouts, and create automated reports highlighting gaps between promises and delivery for consumers and analysts.

Workflow Steps

1

Feedly

Aggregate AI announcement sources

Create a Feedly collection with RSS feeds from major tech blogs (TechCrunch, The Verge, Ars Technica), company press release pages, and AI-focused publications to capture feature announcements and promises.

2

Make.com

Extract announcement details

Set up a Make.com scenario that processes new Feedly articles, uses OpenAI GPT to extract structured data including promised features, release dates, target devices, and key claims from announcement text.

3

Notion

Build promise tracking database

Create a Notion database with properties for company, promised feature, announcement date, promised delivery timeline, actual delivery status, and gap analysis. Include relation properties to link promises with actual releases.

4

Make.com

Monitor actual feature releases

Create additional scenarios that monitor app store updates, software release notes, and tech news for actual feature launches. Automatically update delivery status in Notion when features are confirmed as released.

5

Notion

Generate accountability reports

Use Notion's database views and formulas to create automated reports showing delivery gaps, delayed features, and companies with the largest promise-to-delivery gaps. Set up recurring templates for monthly accountability summaries.

Workflow Flow

Step 1

Feedly

Aggregate AI announcement sources

Step 2

Make.com

Extract announcement details

Step 3

Notion

Build promise tracking database

Step 4

Make.com

Monitor actual feature releases

Step 5

Notion

Generate accountability reports

Why This Works

Leverages AI for content analysis while maintaining structured tracking, enabling systematic accountability reporting that would be impossible to maintain manually across hundreds of announcements

Best For

Tech analysts, consumer advocates, and journalists who need to systematically track whether companies deliver on their AI feature promises

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