Turn scattered Claude Code usage into a repeatable engineering workflow.
A focused, hands-on workshop for technical teams that already see the potential but need consistency: better project rules, safer agent loops, reusable skills, and a shared way of working.
Your team has Claude. Results are uneven.
One developer gets magic. Another gets churn. A third spends more time supervising the agent than shipping. The bottleneck is usually the operating loop around the model.
Rules are implicit
Claude guesses project norms because the team has not encoded them into reusable rules and context.
Agents need babysitting
Work starts, stalls, asks obvious questions, or returns plausible output without enough verification.
Wins do not spread
One person discovers a good workflow, but it never becomes shared team infrastructure.
A practical Claude Code operating system for your team.
The workshop turns ad hoc usage into repeatable habits and artifacts your team can use after the call ends.
What you get
- Two live sessions customized to your team and codebase.
- Project-specific CLAUDE.md rules and review loops.
- Skill and prompt templates your team can reuse.
- A resource hub for reference after the workshop.
Who it is for
- Engineering teams already using or piloting Claude Code.
- Founders who want agents to ship real work.
- Technical leads standardizing team-wide AI workflows.
- AI/product teams building internal agent practices.
Not for
- Generic AI inspiration talks.
- Beginner-only ChatGPT prompting.
- Magic-prompt demos with no repo context.
- Teams that want hype instead of operating discipline.
Two sessions, built around your real work.
1. Fit check and prep
We confirm team size, current usage, bottlenecks, repo/workflow context, and the right workshop objective.
2. Session one — harness and project rules
Your team learns the harness-vs-model mental model, writes concrete project rules, and tests them on real tasks.
3. Session two — agent loops and reusable artifacts
We add verification loops, skill/prompt patterns, and workflow templates that reduce babysitting.
4. Afterward — durable resource hub
Your team leaves with references, templates, and next-step recommendations instead of a fading memory of a webinar.
Built by someone who uses this every day.
Tomer Harari Hamam, PhD, has spent more than a decade building real AI systems, including autonomous vehicle decision-making and autonomous agent products. A2X is based on daily Claude Code practice: MCP servers, custom skills, public resources, and operating loops tested on real engineering work.
Sample artifacts
Browse the public resources for examples of the teaching style: the harness guide, CLAUDE.md rules, skill builder, and advanced workflow explainers.
Practical outcome
The workshop is successful only if your team leaves with reusable habits and artifacts that make future Claude Code sessions more reliable.
What buyers usually need to know.
Is there pricing on the site?
Not yet. The first step is a short fit check so Tomer can scope the team size, prep depth, and workshop format.
Do we need to share private code?
No public sharing is required. The workshop can use your repo context privately, sanitized examples, or a representative internal task.
Is this for beginners?
It is best for technical teams that already know Claude is useful and want to make the workflow systematic.
What should I include in the email?
Team size, current Claude usage, main bottleneck, desired timing, and any constraints around code/privacy.
Ask for a 20-minute fit check.
Send the practical details. Tomer will reply with whether the workshop is a fit and what the next step should be.