coordinate-handoffs

To validate sub-agent artefacts and manage retries, you can orchestrate agent handoffs by verifying output structures, sequencing phase transitions, and applying defined retry limits before escalating failures to a human.

Handling phase transitions and error escalation in an AI delivery pipeline requires sequencing workflow progression, validating phase outputs, and packaging necessary information for human escalation when automated retries are exhausted.

Automating workflow progression after a blocking failure involves checking the sub-agent report, triggering a retry of the failed phase, or escalating the issue to a human if defined retry limits are reached.

Yes, orchestrating agent handoffs requires adherence to specific artefact naming conventions and content structures for planning, implementation, and QA phases to ensure proper validation and automated workflow progression.

You should escalate AI agent workflow errors instead of triggering a retry when automated retry limits are exhausted and the sub-agent issue cannot be resolved automatically within the delivery pipeline.

Yes, you can apply this retry logic across any phase in an agentic AI framework by validating generated artefacts and sequencing transitions between planning, implementation, and QA phases.