A single tool call is powerful — but real tasks rarely fit in one step. "Find the top-rated restaurant near my next meeting and book a table" needs the model to look up the calendar, search nearby places, compare ratings, then make a reservation — in the right order, passing each result to the next step. This masterclass is about that orchestration: teaching a model to plan a sequence of tool calls, feed outputs into inputs, and loop until the job is done.
🎯 What You'll Learn
Why one tool call is rarely enough — and how multi-step workflows mirror how humans actually solve problems.
The plan-act-observe loop — how a model reasons, calls a tool, reads the result, and decides the next move.
Chaining tools together — passing the output of one tool as the input to the next without losing the thread.
Letting the model choose from many tools — giving it a toolbox and trusting it to pick the right one at each step.
Knowing when to stop — designing the loop so the model finishes cleanly instead of running forever.
🚀 Hands-On Topics
Building a workflow that chains 3+ tool calls end to end
Passing structured results between steps reliably
Giving the model multiple tools and watching it route between them
Adding a final "done" condition so the loop terminates
👥 Who This Is For
Anyone comfortable with the idea of a single tool call who now wants AI to handle real, multi-step tasks. If you can picture a model calling one function, this is where you teach it to call several in the right order.
By the end, you'll have built a multi-step workflow where the model plans, chains tools, and delivers a complete result — not just one answer.
⏱ 60 minutes • Live, hands-on examples • Practical takeaways you can use immediately. Reserve your seat and start orchestrating AI that gets things done.
