AI Training Program
Not another ChatGPT webinar. A hands-on program where every participant builds a working AI automation on their actual work. People walk out with systems that deliver immediate ROI, not just knowledge.
Your team sat through the webinar. They played with ChatGPT for a week. Then everyone went back to doing things the old way.
The problem isn't motivation. It's that generic AI training doesn't connect to anyone's actual work. People need to build something real, on their real workflows, with someone guiding them through it.
That's what this program does.
The Program
Each module has a hands-on project. By the end, every participant has a working automation on their actual workflows.
Map the repetitive work in your department. Measure the before: time, people, error rate, cost. Score and rank what to automate first.
BUILD: Your prioritized use case list with baseline metrics
Prompting fundamentals. Structure, context, constraints. How to spot hallucinations and prevent them. Everyone works through a shared problem together.
BUILD: Prompt your way through a real business exercise. Compare outputs across the room.
Connect AI to your real systems — email, spreadsheets, CRMs. No-code and low-code tools. When to buy off-the-shelf vs build custom.
BUILD: Wire up a working automation end-to-end on a real workflow.
What agents actually are: multi-step, autonomous, decision-making. Where humans stay in the loop. What's real today vs vendor hype.
BUILD: Design and prototype an agent workflow with decision points and human checkpoints.
Apply everything to your business. Pick your use case, scope the pilot, decide whether to build, buy, or hire.
BUILD: A working MVP of your chosen automation, plus a pilot brief with baselines, success criteria, and a 90-day plan. Present to the group.
Small groups of 10-15 people. Customized to your industry and workflows.
Can run as an intensive 2-3 day bootcamp or spread across a few weeks for teams that can't spare everyone at once.
Every person works on their own real problems, not hypotheticals. They leave with working automations and a plan for what to build next.
Operations teams, department heads, knowledge workers. Engineers and non-engineers. Anyone whose job involves repetitive work that AI could handle.
1-2 working automations on their actual workflows. A prioritized list of what to automate next. The ability to build more on their own.
Ankit Gordhandas. MIT EECS. Founding member of Zapier's AI team — got company-wide AI adoption past 85%. YC-backed founder with an exit.
30-minute call. We'll talk about where your team is today, what you're trying to get them to, and whether this program makes sense. No pressure if it doesn't.