- How to validate an AI product idea before you build it A practical way to test an AI product idea in weeks, not months: prove the problem, check AI is the right tool, prototype the hard part and test the price.
- Building an AI MVP: what to build first, and what to leave out What belongs in a first AI product release: one workflow, an evaluation set, a hosted model, human review where it matters, and logging. Plus what to leave out.
- Go-to-market strategy for AI products: a practical checklist How to take an AI product to market: positioning that sells the outcome, pricing that covers usage costs, proof buyers trust, and pilots that convert.
- Do you need an AI consultant? When it's worth it, and when it isn't An honest guide to hiring an AI consultant: when outside help pays for itself, when an off-the-shelf tool is enough, what to look for and the red flags.
- How to build a brand colour palette for your website (that passes contrast checks) Choose brand colours that work on a real website: four roles, a full shade scale for each, WCAG contrast that passes, and tokens your developers can use.
- Choosing fonts for your website: popular free pairings that work How to choose website fonts: one for headings, one for body text, and eight popular free Google Fonts pairings from clean SaaS to editorial and luxury.
- Brand guidelines your team will actually use Why most brand guidelines go unread, and how to make one people use: what to include, worked examples, a web page instead of a PDF, and a short training session.
Blog · 7 articles
Notes on taking AI to market.
Practical writing on AI product development, go-to-market strategy and brand — the same thinking that goes into client work, without the sales pitch.
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