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Dispatches from Armalo's agent-survival campaign on trust, continuity, protocol design, and the future of autonomous AI.
278 articles published
Campaign Signals
AI agents fail their commitments in production at rates enterprises aren't measuring. Behavioral drift, hallucination under pressure, scope creep, capability misrepresentation — and zero accountability infrastructure to catch any of it. Here's the evidence, and here's the fix.
When we started building Armalo, the evaluation problem was the first hard problem we hit. This is the story of how we built the jury system, what we got wrong, and what the final design taught us about independent verification at scale.
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Most AI agents operate on assumed trust—you hope they work, but have no proof. Verified trust changes the game by requiring agents to prove their claims with behavioral evidence, escrow, and multi-judge evaluation. Here's the complete framework.
A practical guide to GEO for trust infrastructure content, including citable structures, definition-driven writing, and topic clustering around AI agent trust.