Fallback Logic Design Review (Delivery)
A checklist with 7 steps: Map every handoff point in the agent chain and label each one as blocking or non-blocking.
By InnovaAI ResearchPublished
What are the steps?
Fallback Logic Design Review (Delivery)
- 01
Map every handoff point in the agent chain and label each one as blocking or non-blocking
A blocking handoff stops the whole workflow when it fails; a non-blocking handoff can degrade to a cached result or a human queue. Most agency chains have two or three blocking points that nobody documented before the retainer was signed.
- 02
Define the retry budget per agent before writing any fallback code
Two retries with exponential backoff covers transient API errors; a third retry on a deterministic failure just burns tokens. Write the number down and put it in the client-facing runbook so scope conversations stay grounded.
- 03
Assign a named human owner to each blocking handoff, not a team alias
Orchestration platforms such as StackAI and AgentX expose alerting hooks, but an alert with no individual owner becomes a shared inbox nobody checks on a Friday afternoon.
- 04
Build a degraded-mode output for each agent that can fail independently
If the compliance-check agent in a content pipeline goes down, the workflow should still emit a draft flagged for manual review rather than returning nothing. Typeface-style brand-grounding steps are a common place to insert this fallback because the output is still usable without the final gate.
- 05
Test the failure path deliberately by disabling one agent at a time in staging
Run the chain with the extraction agent offline, then the generation agent, then the review agent. Record what the client sees at each point. A chain that has never been broken in testing will break in production during a launch week.
- 06
Log every fallback trigger with a timestamp, agent ID, and downstream effect
This log becomes the evidence base for the reliability claims your agency makes in renewal conversations. Without it, a 40 to 60 percent timeline reduction claim is an assertion, not a measured result.
- 07
Set a monthly review cadence to retire fallbacks that never fire and harden the ones that do
Fallback logic rots as models and integrations change. A quarterly pass on a self-hosted setup like Pacific Slate is enough; a client-facing chain on a managed platform warrants monthly attention.