AI agents8 min read
Semantic Versioning for Agent Memory Contexts
Contextual drift where updated memory patches invalidate prior reasoning chains, causing silent logical inconsistencies in long-horizon tasks.
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Long-form writing for teams who inherit production AI: what breaks after the demo, what to measure, and how to leave the system operable.
127 reports across 7 domains
AI agents7 min read
Proving Reversibility Before Granting Write Access
The Brennan Center report on rogue AI agents highlights a systemic gap between legislative intent and engineering reality.
Read reportEnterprise AI7 min read
Building Accountability Before Autonomy
The demo impressed the board, but the quiet cost is the engineering debt of retrofitting ownership into a system that was never built to be accountable.
Read reportAI agents7 min read
Catching Semantic Drift Before Step Four
By step four, the context window is full of intermediate JSON blobs and tool outputs.
Read reportAI agents8 min read
Durable Agent State Sidecar: Surviving Pod Eviction in Long-Running Workflows
Context loss during long-running multi-step tasks causes silent data corruption or repeated API calls due to lack of durable intermediate state.
Read reportAI agents8 min read
LLM JSON Schema Drift Validator
The backend team added an optional field to the API response last Tuesday.
Read reportAI agents8 min read
Verifying LLM-Designed Enzymes via Computational Dry-Runs
The alignment is clean, the catalytic residues are in place, and the predicted activity score is high.
Read reportAI agents8 min read
Proving the Stop Before the Start
The executive team saw the agent complete a complex workflow and nodded along.
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Showing 8 of 127 reports