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Resource · Playbook

MVP with Native AI

A faster path from concept to production. Discovery in days. Delivery in weeks. Observability from day one - the same flow we run on every AI Product Development engagement.

The flow

From concept to production in three phases

One AI-builder ships what 10 used to. Discovery validates the problem. Delivery puts a working product in front of users. Observability turns real usage into the next sprint.

01
1-2 days

Discovery

Goal

Validate desirability, viability, and feasibility before a single line of production code.

What happens
  • Desirable - Viable - Feasible
  • Business Model Canvas
  • Value Proposition Canvas
  • Design system & prototypes
  • MVP scope validation
02
2-3 weeks

Delivery & Deployment

Goal

Ship a working product to production - real users, real data, real feedback loops.

What happens
  • MVP AI coding
  • Quality verification
  • Assumptions validation
  • Prompt engineering
  • CI/CD
03
Ongoing

Production Observability

Goal

Watch the product breathe. Catch issues before users do; let real usage drive the next sprint.

What happens
  • Moderation / LLM screening
  • Evals
  • Tracing (latency & costs)
  • User feedback
  • User analytics
  • Infra monitoring
The difference

Classic MVP vs. Fast MVP with Native AI

No 6-month waterfall plans. No team of 15. The AI-native stack collapses Discovery to days and Delivery to weeks - and ships observability with the product, not after.

"Classic" MVP

The slow path

  • Discovery 1-4 weeks
  • Delivery & Deploy 3-6 months
  • Medium Time-to-Market
  • High Cost
  • Production app only
Fast MVP with Native AI

Cheaper & faster

  • Discovery 1-2 days
  • Delivery & Deploy 2-3 weeks
  • Short Time-to-Market
  • Low Cost
  • Production app & observability
Reference stack

The basic dev stack we ship with

Tools we standardise on. Swap in equivalents when a project demands it - the flow above stays the same regardless of the components.

Development Stack
  • Next.js
  • React
  • TypeScript
  • Vercel
  • Supabase
  • LangChain
  • Pinecone & Chroma
  • GitHub
AI Tools
  • Claude Code
  • Codex
  • Cursor
  • Google Stitch
  • Lovable
  • Claude Design
  • ElevenLabs
  • Agents & SKILL.md
Product Management
  • Notion AI
  • Linear
  • Jira
  • Confluence
Communication
  • Slack
  • Google Meet
  • Miro
  • Excalidraw
LLM Observability & Evals
  • LangFuse
  • LangSmith
  • Arize.ai
User Behaviour
  • Google Analytics
  • Amplitude
  • PostHog
The service

AI Product Development

From idea to MVP in weeks, not months. We run this exact flow on every engagement - Discovery, Delivery, and Production Observability, end to end.

See the service