Talk to Jason
1:1 and Small Group Sessions

Learn Claude Code on your own code

One-to-one tutoring in Claude Code. We work on your own repository and your own tasks, not exercises, and you keep whatever we build.

I'm not here to impress you with AI trivia. I'm here to help you ship work faster, with less friction, and better results.

Built around your real work

Whether you're working solo or building team habits, every session focuses on what matters to you.

Individuals

1:1 sessions

  • Engineers, founders and solo builders who own a codebase
  • Product and technical roles working close to the code
  • Anyone using Claude Code and getting inconsistent results

Teams

Small group sessions

  • Small teams wanting a shared way of working
  • Small teams adopting Claude Code with uneven results
  • Groups drowning in repetitive writing, analysis, or documentation

Choose how you want to work

Both formats are hands-on and run against your own code. Nothing is a worked example.

Option A

1:1 Tutoring

Your repository, your tasks, at your pace

Typical Use Cases

  • Get Claude Code working properly on a repository you actually use
  • Write the project context file that makes its output accurate
  • Scope a task so it lands, and spot the ones it will get wrong
  • Review what it wrote without trusting how confident it looks

What You Get

  • Live working sessions (we build real artifacts on the call)
  • Between-session homework that's actually useful
  • A project context file and review checklist you keep
Option B

Group Tutoring

One convention the whole team follows

Typical Use Cases

  • Agree how the team uses Claude Code, so output stops varying by person
  • Settle which work is handed to an agent and which is not
  • Build a shared project context file for your repositories
  • Cut review time by knowing where agent code fails

What You Get

  • Interactive session with shared examples and team exercises
  • A written team convention and a review checklist
  • Optional follow-up: office hours for adoption and refinement

Every session is anchored in your real work

Not a lecture. Pick what matters and we build it together, on your own work.

Getting Claude Code to behave

Setup, permissions, and the project context file that decides whether output is useful or confident nonsense. This is where most of the value is, and where most people never look.

Scoping work it can finish

Work an agent can complete looks different from work you would hand a person. Learn to split a task so it lands, and to recognise the ones it will quietly get wrong.

Reviewing what it wrote

Agent code is confident, consistent and plausible, which defeats a quick read. Guards that fail open, tests that cannot fail, and the checks that actually catch them.

Making repeat work repeatable

Turn the tasks you do every week into something you run rather than retype. Reusable context, saved workflows, and knowing which jobs are worth automating at all.

Product and engineering work

Specs, test plans, documentation, refactor planning and release notes, done with an agent in a real repository rather than in a chat window.

Making your own tools callable

The basics of an API and an MCP server an agent can actually use, for people who want their own systems driven programmatically rather than by hand.

Ready-to-book sessions

Structured sessions with clear goals and hands-on exercises. Each session ends with artifacts you can use immediately.

Your First Week with Claude Code

Install it, point it at a repository you actually work in, and get one real task merged before the session ends. Most of the time goes on the project context file, which is what separates useful output from confident nonsense.

What you'll learn

  • Setup and permissions
  • Writing a project context file
  • Scoping a task it can finish
  • Reading what it did
  • When to stop and take over

Reviewing What the Agent Wrote

Agent-written code fails differently from code you wrote yourself: confident, consistent, and plausible enough to pass a quick read. We go through real output from your own work and build the review habits that catch it.

What you'll learn

  • How agent code fails
  • Guards that fail open
  • Tests that cannot fail
  • A review checklist
  • Knowing when to rewrite

Build, test, make it reusable

Every session follows the same practical loop. You leave with something you can use.

1

Map your work

What do you do every week? What's wasting time? What does "better" look like? We identify 2-3 highest-impact workflows to build first.

2

Live build

We create something real during the session: a document, template, or workflow. Not theory—actual artifacts.

3

Stress test

Run it on another example and tighten it. Find the edge cases. Make it reliable.

4

Make it reusable

Save as a template you can use again. Add it to your growing library. Assign simple practice tasks that compound results.

Pick your starting point

Pricing depends on session length and group size. Start small, build as needed.

1:1 Packages

Starter

2 sessions

Setup, a project context file, and one real task merged. Good for testing the format.

Build

4 sessions

Enough sessions to build the review habit, not just the setup. Most common choice.

System

8 sessions

Across several repositories, including making your own tools agent-callable.

Group Packages

Team Kickoff

Single workshop

Agree one convention so output stops varying by whoever ran it.

Adoption Sprint

3-4 sessions

Convention, review checklist, and office hours. For teams serious about adoption.

Ongoing Office Hours

Monthly

Keep the convention current as the tooling moves. Continuous improvement.

You'll leave with stuff

Artifacts that live in your repository afterwards, not notes about things to try later.

A project context file for your repository
A review checklist for agent output
A written convention for how you use it
Real work, merged during the session

Let's build something useful.

Book a quick call to discuss your goals and find the right format for you.