M1
Day 1 · The harness, not the prompt.
Most teams stop at ChatGPT. Day one goes past it: Claude Code, custom agents, MCP servers, evaluation loops. Your team leaves understanding the difference between using AI and engineering with AI.
Service 02 · Corporate Training
Your team should be building, not prompting.
Hands-on workshops for digital agencies and corporate L&D teams. Claude Code, n8n, agent harnesses, real workflows. Your team leaves having shipped something, not having sat through a slide deck.
Service 02 / 03
On-site Nairobi · Remote across EAT
01 · The format
Two days. Five operators. Zero theory. Everyone leaves having shipped real work.
Most corporate AI training stops at "here are 20 prompts you can use." That is not training, that is a newsletter. Lelbotics training is hands-on engineering. Your team writes code, builds workflows, and ships to production. The output is a working asset they own, not a printable certificate.
M2
Day 1 · The n8n half.
Workflow automation for non-engineers. Your team builds three real workflows and ships them by Friday. No theory. No slides. Real production-ready outputs your team owns.
M3
Day 2 · Build a Claude skill.
Each participant builds a real Claude skill mapped to their actual work. Customer support triage. Inbox summary. Document Q&A. They leave with a working, deployable artifact, not notes.
M4
Day 2 · Ship to production.
Deploy the workflow. Connect the skill. Hand it to one teammate to test. Iterate. Done. Most teams have never shipped working AI before this point.
02 · Fit
Built for a specific kind of operator. Saying no keeps the work good.
A fit if
- 01You run a digital agency whose team is faking AI fluency.
- 02You lead L&D at a mid-corp and need to actually answer your CEO on AI strategy.
- 03Your team is comfortable in Sheets and willing to open a terminal.
- 04You want operators who can build, not just demo.
Not a fit if
- 01You want a one-hour keynote about the future of AI.
- 02Your team has zero technical comfort and no appetite to grow it.
- 03You measure training success by attendance, not by what gets shipped.
- 04You need a certified curriculum aligned to an external framework.
03 · Investment
Open dates, or built for your organisation.
In-house programmes are priced per organisation after a short call about what your team needs to ship. You get three options on one page. On-site in Nairobi or remote anywhere in East Africa time.
- Intro to Claude Code, n8n, and the modern AI stack
- Hands-on build of one shared workflow
- Recording + reference doc
- Right for: agencies exploring AI for the first time
- Two-day intensive built around your team's real work
- Each operator ships their own working workflow
- 30 days of direct access to me after the room empties
- AI usage policy for your board, aligned with Kenya's Data Protection Act
- Right for: corporate L&D, leadership teams, agencies going all in
- In-house program as kickoff
- Three weeks embedded with your team shipping their own work
- Direct review of each operator's first three deployments
- Outcome: your team is autonomous by end of month
What the money is for
You are not paying for two days of training. You are paying for a team that can ship AI work the week after the room empties.
04 · Next
Is your team ready to build, or just hyped?
Take the 90-second AI readiness check for an honest score and the track that fits. Or send a one-paragraph brief about your team and what they ship today, and I will come back with a syllabus and a price within 48 hours.