AI Agents Development : What to Verify Before, During, and After | Checklist
The complete checklist for ai agents development : what to verify before, during, and after | clickmasters: what to verify before starting, during development, before launch, and after launch. Every item is specific and binary it is done or it is not.
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AI Agents Development Checklist
The complete checklist for ai agents development: what to verify before starting, during development, before launch, and after launch. Every item is specific and binary it is done or it is not. No ambiguity, no interpretation required.
AI Feature Pre-Build Checklist
0/6Quality benchmark defined: 20+ test cases with expected outputs
Quality threshold agreed (minimum benchmark pass rate for launch)
Failure mode designed (what the user sees when the AI cannot perform the task)
AI unit economics calculated (cost per user per month at expected usage)
Data privacy assessment: what personal data is sent to the LLM API?
LLM provider DPA reviewed (does the provider use data for training?)
AI Feature Development Checklist
0/6System prompt version-controlled in Git alongside application code
Structured output (JSON mode or function calling) for parseable responses
Retry logic implemented for API rate limit and timeout errors
LLM API cost monitored per request and per user (CloudWatch metric or equivalent)
Response caching implemented for identical or near-identical inputs
Benchmark pass rate measured against test dataset
AI Feature Launch Checklist
0/9Benchmark pass rate meets agreed launch threshold
Thumbs up/down feedback instrumented on every AI output
AI output labelling (user knows they are interacting with AI)
Feature flag configured for staged rollout (start at 5-10% of users)
LLM-as-judge quality monitoring configured (automated quality scoring)
Fallback behaviour tested: what happens when the AI API is unavailable?
P95 latency and error rate within baseline 24 hours post-launch
Sentry showing 0 new critical errors 48 hours post-launch
Analytics events firing correctly in production (verified in analytics tool)
AI Agents Development : What To Verify Before, During, And After | ClickMasters Checklist Engineering Baseline
complete all pre-project checklist items before signing a development contract. Items marked are non-negotiable a vendor who will not complete them is a vendor who will produce surprises during delivery.
Industry-standard compliance and best practice implementation.
review the sprint checklist at each sprint review. A story that does not pass all sprint checklist items is not a completed story it should not be counted in the sprint velocity or reported as 'done' to stakeholders.
Industry-standard compliance and best practice implementation.
complete the pre-launch checklist before exposing the product to any external users. The pre-launch items are the ones where failures are most costly a security issue discovered after launch costs 10-100x more to address than one discovered before.
Industry-standard compliance and best practice implementation.
complete the post-launch checklist in the first 30 days. These items are not optional enhancements they are the verification that the launched product is working as intended and that the monitoring infrastructure is in place to catch problems before users report them.
Industry-standard compliance and best practice implementation.
AI Agents Development : What to Verify Before, During, and After | ClickMasters That Completes Every Checklist Item
ClickMasters runs this checklist on every engagement. Fixed-price.
