Inspiration

We looked into the real problems that employees face irl and found this compelling enough to try and make it.

What problem does ActDrop solve?

The average knowledge worker attends 8 meetings per week and spends 20–30 minutes after each one manually extracting action items, updating task managers, and drafting follow-up emails. This is pure friction — and no tool has eliminated it cleanly. ActDrop does one thing: you paste your raw meeting notes and get a structured action dashboard instantly.

How I used MeDo:

I built the entire application through conversational prompts with MeDo — from the initial layout and dark-theme UI, to the AI extraction pipeline that parses unstructured meeting notes into structured JSON, to the Eisenhower Priority Matrix that auto-populates from extracted tasks, to the AI-generated follow-up email drafts. MeDo handled the full-stack generation, the AI integration, and one-click deployment. I used multi-turn conversation to iteratively refine each feature — adjusting the JSON schema, improving the mobile layout, and fixing edge cases entirely through chat.

Most impressive feature MeDo generated:

The chained AI pipeline — extract → prioritize → draft — running seamlessly in a single user action. MeDo generated the logic to parse the AI output, map priority levels to the correct quadrant in the Eisenhower Matrix, and trigger a second AI call to generate personalized email drafts. This is three coordinated AI operations from one click, and MeDo built all of it from a description.

What's next for ActDrop

We will be developing it further after testing its viability.

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