Claude for Power Users
Unlock the full engineering and analytical capabilities of Anthropic's Claude. Learn to control model reasoning with structured prompting, build reliable agentic systems using Model Context Protocol, and orchestrate complex autonomous workflows at scale.
Like Duolingo, but for Claude for Power Users. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
21 levels across 3 sections, about 42 minutes end to end, roughly 8 days at five minutes a day. It moves through Precise Control and Prompt Architecture; Tooling, Protocols, and Persistent Environments; and System Orchestration and Evaluation.
Free forever · No credit card · iPhone & Android
Key ideas in Claude for Power Users
- In the Anthropic Messages API, populating the assistant role message primes Claude's generation to continue directly from that token sequence
- Prefilling '{' prevents conversational preambles because Claude cannot output natural language before continuing the already-opened JSON object
- System prompt negatives like 'do not include introductory text' rely on compliance adherence, whereas prefilling restricts valid continuation space mechanically
- Claude's fine-tuning and pre-training explicitly optimize for XML tags as strict syntactic and semantic document delimiters
- Markdown headers frequently blend into user-generated content or markdown within the documents, causing Claude to misattribute document boundaries
- XML tags provide unambiguous closing boundaries that help Claude distinguish injected user instructions from passive contextual reference material
- Claude tends to satisfy completion pressure by approximating or hallucinating unless provided with an explicit low-cost escape hatch or sentinel value
- Providing an explicit fallback path (such as a structured 'not_found' token or dedicated XML element) channels Claude's uncertainty into deterministic tokens
- Pure negative constraints ('do not guess') fail significantly more often than pairing a strict rule with an exact fallback action
- Encapsulating few-shot demonstrations within XML tags prevents Claude from treating sample variables as immediate task context
- Demonstrating deliberate thought processes inside intermediate XML tags grounds Claude's output trajectory far more reliably than abstract imperatives like 'think thoroughly'
- Consistent field ordering across few-shot exemplars strongly biases Claude's probability distribution to match that exact structural sequence
- Vague persona prompts ('You are a strict compliance expert') leave behavioral boundaries open to rhetorical exploitation and persuasion across long conversational turns
- Explicit operational perimeters define deterministic boundaries: admissible actions, forbidden state transitions, and required escalation syntax
- Claude adheres more consistently to negative boundary envelopes and defined edge-case procedures than to personality archetypes
- Claude's extended thinking requires setting thinking = { type: 'enabled', budget_tokens: N }, where budget_tokens enforces an upper bound on reasoning tokens before synthesis begins
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 Claude for Power Users 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.
Your API parser breaks because Claude keeps saying "Here is your JSON:". What prefill fixes this at token zero?
Get it right to open this lesson and 20 more in the app.
Where Claude for Power Users takes you
- 1
Precise Control and Prompt Architecture
- Advanced Output Steering with Prefills and XML
- Steering Extended Thinking and Reasoning Budgets
- Context Architecture: Caching and Degradation
- 2
Tooling, Protocols, and Persistent Environments
- Model Context Protocol and Tool Architecture
- Persistent Environments: Projects and Artifacts
- 3
System Orchestration and Evaluation
- Systematic Prompt Evaluation and Behavioral Testing
- Multi-Model Orchestrator-Worker Pipelines
3 sections · 7 units · 21 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
Claude for Power Users is taught in 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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Practical AI and Prompt Workflows
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Start Claude for Power Users today.
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