LLM Retries vs Circuit Breakers: Handling API Errors
When to retry LLM API calls, when to open a circuit and how to switch fallbacks safely within shared deadlines and budgets.
Read moreBlog posts in the Risk Management category
When to retry LLM API calls, when to open a circuit and how to switch fallbacks safely within shared deadlines and budgets.
Read moreCompare parallel voting and limited debate for multi-agent decisions—use voting for fixed outputs and bounded debate for disputes.
Read moreStaged messaging for AI pilots to rollout: owners, approvals, audience timing, evidence, and pause rules.
Read moreMeasure verified results, enforce windowed progress checks and block further calls when AI agents show no measurable improvement.
Read morePeer AI champions coach safe, task-focused AI use with clear role limits, protected time and escalation for specialist risks.
Read moreRun independent tool calls concurrently with permission checks, timeouts and safe retries to cut latency while preserving state.
Read moreFlag potential poisoned training samples with controlled, label‑preserving perturbations, calibrated on clean data and routed for human review.
Read moreMatch fan-in to conflict: rules for structured data, rank evidence for facts, use synthesis for interpretation, and surface uncertainty.
Read moreFour-step CoVe method: draft claims, create neutral checks, run isolated evidence-based checks and revise with uncertainty noted.
Read moreUse self-consistency: sample varied LLM answers, normalise final responses, count votes and independently verify the leading answer.
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