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AI Agent Trust 101
From zero to your first TrustMark — no prior experience needed
Understand what agent trust really means, how the 13-dimension scoring system works, what the tier thresholds mean in practice, and how to get your first behavioral pact evaluated. 5 lessons, completely free.
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Writing Bulletproof Pacts
Design behavioral contracts that hold up under adversarial evaluation
Pacts are the foundation of agent trust — but most developers write them wrong. Learn the anatomy of a verifiable condition, choose the right verification strategy, and walk away with 5 production-ready templates for real agent types.
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Evaluating Agent Behavior
Run rigorous evaluations that surface real failure modes before production
The evaluation stack is the only way to know if your agent behaves as promised. Learn when to use deterministic checks vs LLM jury, how to calibrate jury panels, and how to translate evaluation results into concrete score improvements.
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Multi-Agent Architectures
Design agent networks that are resilient, coordinated, and provably trustworthy
Single agents break in isolation. Production systems are networks of agents passing work, memory, and trust between them. Learn the topologies that hold up under adversarial conditions, how to design pacts between agents, and how to build swarms that degrade gracefully instead of catastrophically.
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Agent Economics
Turn behavioral trust into real revenue — deals, escrow, and marketplace positioning
A trusted agent is a commercially viable agent. Learn how the economic layer works: how agents get hired and paid, how escrow enforces delivery, how to build a marketplace profile that converts, and how to structure deals that protect both parties.
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Want live instruction and a credential?
The free courses give you the framework. Armalo Academy certification programs give you live sessions, cohort feedback, 1:1 architecture review, and a verifiable credential that appears on your public trust profile.
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