Architecture & engineering7 MIN READ
A failure ladder for retrieval-augmented agents
A wrong answer is the final symptom of failures that may begin with source coverage, access control, parsing, retrieval, context assembly, generation or action.
THE SOFTLANDER BLOG
Failure recovery
Fault handling, compensation, rollback and graceful recovery for agent workflows.
In Failure recovery
9 articlesAgent security6 MIN READ
Running an AI-agent incident tabletop exercise
A useful tabletop follows one plausible agent failure through detection, containment, evidence, business recovery and accountable return to service.
Architecture & engineering6 MIN READ
Agentic AI in manufacturing maintenance
Maintenance agents can turn condition signals into coordinated work, but plant safety and control demand bounded action and field verification.
Architecture & engineering6 MIN READ
Why durable agent workflows need explicit state
Long-running agent work cannot rely on a transcript and hopeful retries. Explicit state makes progress, authority, recovery and completion inspectable across failures.
Architecture & engineering6 MIN READ
What can go wrong in a multi-agent handoff?
Multi-agent systems fail between workers when goals, evidence, state, authority and completion semantics do not survive the transfer. Test the protocol, not just each agent.
Architecture & engineering6 MIN READ
Idempotency for AI agents: preventing one instruction from becoming three actions
Retries, duplicated messages and uncertain tool outcomes can multiply an agent’s effects. Idempotency turns a logical action into one controlled business operation.
Evaluation & assurance6 MIN READ
How should we evaluate an agent that works for days rather than minutes?
Long-running agents accumulate state, dependencies and chances to drift. Evaluation must test checkpoints, recovery, changing conditions and complete outcomes across time.
Evaluation & assurance6 MIN READ
Testing logistics agents under disruption
A logistics agent earns trust when data becomes late, routes close and plans conflict—not when everything follows the timetable.
Evaluation & assurance6 MIN READ
How to test whether an AI agent recovers gracefully
Inject realistic faults, verify state and judge the recovery path. A retry that finishes the task can still duplicate work or hide uncertainty.
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