AI products, growth systems and technical prototypes.

Turned a recurring AI workflow problem into a packaged browser product with its own acquisition site and analytics loop.

• Extension architecture built around privacy-sensitive local retrieval.
• SEO and LLM-discovery site with MDX content, sitemap, feed and llms.txt assets.
• Weekly insights dashboard that turns PostHog, GA4 and Search Console data into action plans.

Reached 12,000+ users with zero paid acquisition.

• Shaped the product around repeated teacher and student use cases.
• Validated demand through organic adoption rather than advertising spend.
• Learned where AI products need workflow fit, not just model access.

Shipped a full product surface with intake, paid access and personalised LLM output.

• End-to-end product flow from landing page to intake to generated plan.
• Supabase-backed application state and Stripe payment flow.
• Prompt and output structure designed for practical, parent-readable guidance.

Built enough working surface to test the product story, gateway mechanics and demo flow before deeper investment.

• Static marketing site for private beta positioning and interest capture.
• Credits dashboard and vendor demo service for paid API call simulation.
• Signed gateway verification, idempotent ledger handling and Base Sepolia fork testing.

Helped translate broad product ambition into clearer build priorities and execution decisions.

• Clarified where AI should sit in the product rather than bolting it on as a feature.
• Worked through product direction, positioning and founder-level decision tradeoffs.
• Supported execution planning so the next build steps were concrete.