The shift from chatbot to coding agent
Claude Code rolled out across your team, with Skills that encode your rules, eval loops that guard quality, and pipelines that replace one-at-a-time work.
Claude Code Enterprise
Chatbots answer. Agents ship.
Every project restarts from scratch
No shared Skills, no encoded guidelines, no path from a good chat to a workflow that runs the same way every time.
Rules live in people's heads
Brand and review rules re-typed into every session, drifting with every teammate. Consistency depends on memory.
Internal tools nobody can rely on
One power user ships scripts; fifty colleagues depend on them. Without evals and testing discipline, they break when it matters.
A team that builds its own pipelines
Live Claude Code rollout
- Every learner sets up Claude Code on a real task, live
- Framed as a problem-solving agent, not a coding tool
- Git and GitHub so pipelines are shared and versioned
Skills libraries
- Your rules encoded once as reusable Skills
- Applied automatically to every run
- Owned by your team, extended after we leave
Eval loops & tool discipline
- Automated checks that score output before it ships
- TDD practice for tools the whole team relies on
- Batch pipelines wrapping the tools you already run
Four phases, ending in production
Foundation
Advanced prompting, automation, agents and MCP on the tools your team already lives in.
Claude Code + Skills
Live setup, Skills for your rules, eval loops for consistency, TDD for shared tools.
Pipelines
Batch generation and automation of the team's highest-volume manual work.
Capstone & handover
Each learner ships one pipeline on a real brief and hands it into daily production.
Building blocks: Claude Code · Skills · CLAUDE.md · MCP · Git · Eval loops · TDD · Figma vibe coding
Asked before every cohort
Is this only for engineers?
No. Our largest Claude Code rollout is a creative team, and a current leadership cohort includes a CFO. Non-technical learners ship real tools by mid-program.
What's a Skills library, concretely?
Your operating rules captured once as reusable Skills that Claude applies automatically, instead of being re-typed into every session.
How do you keep AI output consistent?
Eval loops: automated checks that score every output against your rules and flag misses before anything ships.
What happens to the pipelines after the program?
They're yours: versioned in your repos, documented, and handed into production at the capstone, with mentor support for up to a year.
Do you provide licenses?
We can bundle Claude Pro for participants during training, with post-program seats quoted by actual power-user count so you never over-buy.
This program is running today with a D2C creative team building batch pipelines, and with non-technical senior leaders shipping dashboards.
Case studies →
Start with one cohort and real work
Bring the team and the workflows that hurt. Claude Code runs on their own tasks from session one.