Meeting Follow-Up Automator

Who buys this

Account managers and consultants who finish a call and owe someone a recap within the hour.

Where to start in Lovable

Paste this into Lovable as the opening prompt. It sets up one screen and one job, which is easier to grow from.

Build a meeting recap tool. User pastes a transcript or rough notes and picks a recipient type: client, team, or manager. The app produces a recap with three sections: decisions made, open questions, action items with owners and dates. Action items are editable inline before sending. Add a history of past recaps searchable by attendee name.

What you will need to wire up

• Lovable AI Gateway
• Lovable Cloud (Postgres)
• Stripe

Build order

1. Three sections, no more. Decisions, open questions, actions. Every extra section makes the output look like a wall and stops getting sent.
2. Make actions editable. The model will guess owners wrong. If fixing that takes two clicks the tool survives, if it takes a copy into another editor it does not.
3. Adapt tone to the recipient. A client recap and a manager recap say different things about the same call. That switch is the reason to pay rather than paste into a chatbot.

Where this usually breaks

• Transcripts contain things nobody should forward: pricing debates, candid remarks about people. Flag risky lines rather than silently including them, and never store transcripts longer than you must.
• Everyone assumes you also join calls and record. Say plainly that you do not, or build it properly, but do not leave it ambiguous.

How it makes money

• Per recap, credit pack. Fits consultants with uneven months better than a subscription.
• Per seat for agencies. Same product, different buyer. Agencies want the shared history more than the generation.

Why this idea works right now

AI has dropped the cost of building software to almost zero, but most people still think you need a team of engineers to ship a real product. You don't. The opportunity behind «meeting follow-up automator» is that the underlying tech is finally good enough, the audience already exists, and the tooling: specifically Lovable, lets a single person ship in days what used to take a startup six months.

The 4-step Lovable playbook

1. Describe the product to Lovable. Open Lovable and paste a one-paragraph spec: "Meeting Follow-Up Automator". Lovable instantly scaffolds the UI, pages, and components. No setup, no boilerplate.
2. Plug in the AI brain. Use Lovable AI Gateway to add the smart layer: text generation, image vision, transcription, classification, without touching API keys or backend code.
3. Add auth, database & payments. Enable Lovable Cloud for instant user accounts, a Postgres database, and file storage. Connect Stripe in two clicks to start collecting money.
4. Launch & monetize. Auto-generates action items from pasted meeting notes and sends them to attendees via email or Slack. Publish to a custom domain straight from Lovable and start sharing the link the same day.

What you'll have at the end

• A live product on its own domain
• User signup, login & profiles
• Database with user data & content
• AI-powered core feature working in production
• Stripe checkout to accept first payments
• Built without writing a single line of code

The hard part was never the code. It was getting started. Lovable removes that wall: describe the product, watch it appear, ship it.

Your move

You just read the entire playbook. The only thing standing between you and a live AI product earning real money is one click. Open Lovable, paste the idea, and let it build the first version while you finish your coffee.