Ignite26/27
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Phase 02

October 2026

Discover

Discover is about finding the right problem — and about getting hold of the tools to attack it. The cohort learns AI-assisted development, sets a shared standard for what "ready" and "done" mean, and works out what an AI initiative actually costs. At the weekend gathering on 17–18 October the cohort splits into tracks for the first time.

Learning objectives

  • Use AI-assisted development in your own work — and know when it does not pay off
  • Define DoR and DoD for your own team
  • Work out what an AI initiative costs, and choose a run pattern that holds the budget
  • Present an AI proposal to a client in person

Core topics

  • 01AI-assisted development: Claude Code, Cursor and the agentic IDE
  • 02Team standard: DoR and DoD for AI delivery
  • 03AI economics and FinOps: token cost, caching, routing
  • 04Presentation skills and client communication
  • 05Track breakouts: multi-provider (Builder), model selection (Tuner), AI readiness (Shaper)

Technologies and frameworks

  • Token calculators and cost dashboards
  • EU AI Act risk assessment templates
  • Miro · Figjam for diagnostic workshops
  • Notion · Obsidian for structured case work

Sessions in this phase

  • Masterclass on AI economics and FinOps
  • Dojo on problem framing and scoping
  • Dojo on client diagnosis
  • Weekend gathering 1, 17–18 October: presentation skills, AI-assisted coding, Build kickoff and track breakouts
  • Frontier Friday

Artefacts Ignitere deliver

  • 01Business case for an AI initiative from real client work
  • 02Risk classification document under the EU AI Act
  • 03Client conversation script and reflection after delivery

Courses in this phase

Shared coursesAll Ignitere

  • AI economics and FinOps

    Token cost, caching, routing — and how to defend an AI budget.

  • Delivery quality in AI projects

    How the Ignite team works. What "ready" and "done" mean on an AI project.

  • AI-assisted development in the client's codebase

    Build software with AI as an active collaborator

  • Presentation skills

    Confident delivery, and demos that land.

Track courses · Ignite Builder

  • Provider-independent LLM architecture

    Why you should speak three languages with LLMs.

Track courses · Ignite Tuner

  • Model selection and reading benchmarks

    Which model should the client use — and how do you know you are right?

Track courses · Ignite Shaper

  • AI readiness assessment methodology

    Find out whether the client is actually ready — or just talking about AI.

Cross-cutting threads

  • AI economics and FinOps
  • EU AI Act practice
  • Consultant craft
Phase 01Foundations
Phase 03Build