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ProductStrategy

Filmtailor AI

Helping an AI-for-film startup find the product the market would actually pay for, and the go-to-market that didn't burn a year proving it.

Client
Filmtailor AI
Role
Product & strategy advisor
Timeframe
2024
Year
2024
Weeks From broad idea to a sharp, testable wedge
1 ICP Replaced 'everyone in film' with the buyer who pays

The opening

AI for film is a category with infinite surface area and very few people willing to write a cheque. The risk wasn’t building the wrong feature; it was building a beautifully general product nobody specifically needed.

What I did

  • Narrowed the bet. Cut “AI for filmmakers” down to the one workflow, for the one buyer, where the pain was sharp and the budget already existed.
  • Pressure-tested the roadmap. Sequenced the build so the riskiest assumption got tested first, cheaply, before the expensive work began.
  • Shaped the pitch. Positioned the product so the value was obvious in a single sentence to the person who signs.

What it proves

The fastest way to lose a year is to build for everyone. Strategy here meant subtraction: finding the loophole in a crowded category by being unfashionably specific.