AI tools win when they apply a model to a specific, high-value output — not when they wrap ChatGPT in a generic chatbox. StartSeed generates ideas scoped to one use case, one output format and one pricing model.
A contract-risk summariser for SMEs that highlights unusual clauses, compares them to standard templates and suggests negotiation points. Charges €29/month per company. It could be called Clausewise.
A furniture photo → shopping list tool that identifies items in a room photo and returns buyable links with prices. Freemium with a Pro plan at $5/month for unlimited scans. It could be called Snapshop.
A customer-support tone coach that analyses agent replies before sending and suggests softer, clearer phrasing based on the customer's emotional state. B2B at $12/agent/month. It could be called Tonecheck.
Before building, test your prompt manually with 20 real inputs. If the output quality varies wildly, the idea needs a narrower scope.
A specific output users pay for today, a prompt that produces consistent quality, and a moat beyond 'we use GPT-4' (proprietary data, workflow integration, fine-tuning).
Not for v1. Use a frontier model (GPT-4, Claude, Gemini) with careful prompting. Fine-tune only after you have 10K+ examples and a clear quality gap.