ExplainerAI in production
Muse Wonder's Active Memory needs an operational test
Test selective recall, corrected state, tool-failure recovery, clarification, and the independent destination result before trusting a long-running agent.
AI in production. Reliability in practice.
Latest edition ·The latest analysis
AMD Helion separates agent execution from model inference
Helion places CPU agent loops, token routing, GPU inference and supporting services in separate capacity zones that still share one task outcome.
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GuideAI in production
Measuring retry amplification in AI agent workflows
Connect logical tasks to every model and tool attempt, then measure cost and latency per accepted outcome without hiding failed or unknown work.
ExplainerAI in production
Scheduled AI work needs an execution contract
Bind the schedule to a model, tools, input state, destination and acceptance evidence, then reconcile the actual run before retrying or declaring success.
ExplainerAI in production
Bit-exact decoding turns inference speedups into testable changes
Compare reference and speculative paths for token-level equivalence, then run a separate capacity trial so speed cannot conceal a serving-contract change.
Field guides
Get closer
to the evidence.
Follow a request. Review the code. Find out what actually happened.
Explore the guidesKeep the traces that explain a failure
GuideObservability
OpenTelemetry tail sampling through a checkout failure
Tail sampling selects recorded traces by error, latency and other evidence. A checkout timeout shows how routing, waiting time and memory affect the trace a responder can retrieve.
Give AI code review a useful job
GuideAI in production
CodeRabbit: how to use AI code review
CodeRabbit brings AI feedback into pull requests, editors and the CLI. A retry loop that exceeds its caller’s deadline shows the kind of finding that can repay review time.
Recover when a tool call times out
GuideAI in production
Recovering an automation write after a timeout
A missing response can leave a worker already created. Durable operation IDs and the destination’s idempotency contract let a replacement executor recover the original request.
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