Customer stories
Outcomes, not testimonials
Each story reports what was measured: baseline, intervention and result.
Mental-health benefits · Product Ops
Product Ops, rewired around Claude Code
Product, operations, design and engineering leads were each experimenting with AI separately, with no shared way of working across the functions that ship together.
- Workshop tracks
- 3
- Format
- On-site SF
- Focus
- Claude Code + MCP
Used-equipment marketplace · E-commerce
Production AI evals for a marketplace team
AI-powered listing tools were shipping without a way to measure whether model quality was improving or regressing.
- Team size
- 20–40
- Programme length
- 2 days
- Focus
- AI evals
AI engineering agency
50+ engineers on one production-ready approach
Engineers across three regions were experimenting ad hoc, with no common vocabulary or agreed tooling for shipping AI features.
- Engineers trained
- 50+
- Format
- Live cohort
- Focus
- AI engineering
Advisory · digital services
One AI stack adopted across engineers, designers and advisors
Mixed-discipline teams needed a single modern AI toolchain they could all use on client work, not four separate experiments.
- Stack
- Claude · n8n · Lovable
- Format
- Live cohort
- Outcome
- Shared workflows
Management consulting
AI-native consulting, end to end
Consultants and executives needed repeatable AI workflows they could take into every client engagement, not one-off demos.
- Audience
- Consultants + execs
- Scope
- Strategy · GTM
- Focus
- AI-native consulting
Education
AI-native workflows across content, curriculum and operations
An education team wanted practical AI habits that would keep improving after the training ended.
- Sector
- Education
- Format
- Live cohort
- Focus
- AI-native workflows