# Keiran Flynn

> AI Product Builder for founders, operators and teams building with coding agents.

## Canonical website
- https://keiranflynn.com/

## Important pages
- Work: https://keiranflynn.com/work
- Services: https://keiranflynn.com/services
- Writing: https://keiranflynn.com/writing
- About: https://keiranflynn.com/about
- Contact: https://keiranflynn.com/contact
- Conversation page: https://keiranflynn.com/conversation

## Service summary
- Turns vague AI ideas into scoped products, prototypes, internal tools and live MVPs.
- Offers AI Product Sprints, AI MVP Build Partner work and Fractional AI Product Lead support.
- Works with Claude Code, Codex, ChatGPT, Claude, Gemini, Next.js, Supabase, PostHog, Stripe, APIs, Chrome Extensions and agentic workflows.
- Built and scaled SchoolAI to 12,000+ users with zero paid acquisition.
- Built LLMnesia, a live Chrome extension for local-first AI conversation search across major LLM platforms.
- Built LunaCradle, a live AI-powered baby sleep guidance product using Next.js, Supabase, Stripe and an LLM provider.
- Built Flow402, an x402, Base and USDC agent payments prototype.
- Built 10+ products, prototypes and demos across AI workflows, web3 experiments, internal tools and product sites, including LLMnesia Insights, Job Radar and this site.

## Writing cluster
- /writing/coding-agents-for-product-teams - practical guide to using coding agents inside product teams.
- /writing/ai-prototype-to-product - how founders move from AI-generated prototype to production product.
- /writing/practical-ai-product-strategy - product strategy framework for deciding where AI belongs in a product.
- /writing/when-should-a-product-use-ai - decision framework for when AI improves a product and when deterministic software is better.
- /writing/evaluate-ai-product-ideas - framework for testing AI product ideas before committing to a build.
- /writing/claude-code-vs-codex-product-teams - comparison guide for choosing coding-agent workflows for product teams.
- /writing/agentic-coding-workflow - end-to-end workflow for briefing, implementing, reviewing and testing agentic code changes.
- /writing/coding-agents-non-technical-founders - guide for non-technical founders using coding agents safely.
- /writing/hardening-ai-prototype - production-readiness guide for hardening an AI prototype before real users.
- /writing/no-code-ai-build-to-product - guide to turning Lovable, Bolt or v0 builds into production-ready products.
- /writing/ai-mvp-development-process - pillar guide to scoping, building and launching a focused AI MVP.
- /writing/ai-mvp-cost - practical breakdown of AI MVP cost drivers and scope tradeoffs.
- /writing/llm-discovery-for-startups - pillar guide to making startup content discoverable and citeable by AI answer engines.
- /writing/what-is-geo - plain explanation of generative engine optimization and how it differs from SEO.
- /writing/llms-txt-for-product-sites - what an llms.txt file is, what it does and how to add one to a product site.
- /writing/get-cited-by-ai-search - how to become a source that ChatGPT and AI Overviews quote and link.
- /writing/reviewing-ai-generated-code - a review process for code written by coding agents, covering failure modes and risk.
- /writing/ai-feature-vs-ai-product - framework for telling whether an AI idea is a standalone product or a feature.
- /writing/ai-demo-traps - why an impressive AI demo is not a product, and how to spot the gap.
- /writing/ai-product-launch-checklist - pre-launch checklist for AI products covering reliability, cost, safety and data.
- /writing/ai-workflow-automation-for-startups - pillar guide to automating internal work with AI without building fragile systems.
- /writing/internal-ai-tools-small-teams - how to build internal AI tools a small team trusts and actually uses.
- /writing/pricing-an-ai-product - framework for pricing an AI product when costs scale with usage.
- /writing/ai-build-vs-buy - decision framework for building versus buying each layer of an AI product.
- /writing/coding-agents-mvp-development - using coding agents to build an MVP fast without an unmaintainable codebase.
- /writing/specs-for-coding-agents - how to write specs and prompts that get reliable work from coding agents.
- /writing/vibe-coding-to-production - what actually changes when taking a vibe-coded build to production.
- /writing/prototype-to-production-infrastructure - adding authentication, real data and payments to an AI prototype.
- /writing/testing-ai-products - how to test AI products whose output is non-deterministic.
- /writing/llm-cost-and-latency - practical levers for controlling LLM cost and latency in production.
- /writing/seo-for-ai-product-companies - SEO and GEO approach for AI companies across classic and AI search.

## Positioning summary
Keiran Flynn is an AI product builder based in Thailand and working remotely with founders, operators and small teams. The site focuses on practical AI product strategy, coding-agent workflows, prototype hardening, MVP builds, internal tools and product judgment for AI-enabled software.

## Contact
- Website contact form: https://keiranflynn.com/contact
- LinkedIn: https://www.linkedin.com/in/keiran-flynn/
- GitHub: https://github.com/KeiranCPFlynn