Building with Agentic Platforms
Move beyond basic prompting into full autonomous agent architectures. Learn how to bind tools, manage stateful graphs, orchestrate multi-agent swarms, and implement robust production guardrails.
Like Duolingo, but for Building with Agentic Platforms. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
24 levels across 4 sections, about 48 minutes end to end, roughly 10 days at five minutes a day. It moves through Making Agents Act; State, Memory, and Control Flow; Multi-Agent Orchestration; and Production Reliability and Governance. It assumes you already know the basics.
Free forever · No credit card · iPhone & Android
Key ideas in Building with Agentic Platforms
- The model first generates a thought trace explaining its intended goal
- The runtime dispatches the chosen action to an external tool
- Tool outputs return to the prompt context as observations for the next step
- Schemas enforce strict types so runtimes can validate payloads automatically
- Constrained decoding binds model generation directly to allowed function signatures
- Free-text requests frequently omit required parameters or scramble data types
- A hard iteration ceiling forcibly halts recurring steps when goals stall
- Stop tokens halt generation the moment a tool payload is complete
- Budget and timeout guards terminate runaway loops independent of model output
- Injecting raw error logs lets the model inspect its exact mistake
- Schema error observations instruct the model to correct malformed arguments
- Empty return payloads signal that search parameters were too restrictive
- Deterministic handlers intercept unknown tool names before execution
- Fallback routines append error notices without crashing the main loop
- Pre-execution schema checks shield backend services from corrupted inputs
- LLMs evaluate docstrings and parameter descriptions to decide if a tool satisfies the user query.
You've tried the other tabs
Thirty open tabs. Four facts you actually kept.
You watched. You nodded. By Sunday it was gone.
One answer, then back to scrolling.
Eight weeks. You meant to finish. You didn't.
Tomo gives Building with Agentic Platforms the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.
Here's what playing it feels like
A real question from this course. Take your best guess.
When an agent decides to run a tool, who actually executes the command?
Get it right to open this lesson and 23 more in the app.
Where Building with Agentic Platforms takes you
- 1
Making Agents Act
- The Core Agent Loop
- Tool Design and Schema Contracts
- 2
State, Memory, and Control Flow
- State Machines and Graph Execution
- Tiered Memory Architectures
- 3
Multi-Agent Orchestration
- Hierarchies and Collaboration Patterns
- Dynamic Routing and Handoffs
- 4
Production Reliability and Governance
- Human-in-the-Loop and Sandboxing
- Tracing and Trajectory Evaluation
4 sections · 8 units · 24 levels. Built to play, not to enroll.
Tomo is in ChatGPT
Tomo is also a ChatGPT plugin: the same playable courses, built and played inside your chat.
Add Tomo to ChatGPT- What to ask
- “Make me a Tomo course on black holes.” “Turn this chat into a Tomo course.”
- What you get
- Quick questions with instant feedback, hearts and stars, ready to play in about a minute.
- Where it goes
- No sign-up to start. Connect your Tomo account and your streak carries on in the app.
You pick the voice
Building with Agentic Platforms is taught in the The Professor style: clear, structured, thorough. Want a different feel? In the app you can spin up the same topic in any of Tomo's teaching styles. Same facts, totally different vibe.
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Start Building with Agentic Platforms today.
Download Tomo, search Building with Agentic Platforms, and play your first lesson in under a minute.