A six-guide learning path
Build a focused AI MVP
Define the contract around your model call: inputs, source material, outputs, failure states, and the human who approves the result.
Step 1
Define the contract around an AI feature
Specify inputs, evidence, output shape, and rejection rules before choosing prompts.
Read the guide →Step 2
Keep model API keys on the server
Separate browser requests from credentialed provider calls and apply usage limits.
Read the guide →Step 3
Make AI drafts reviewable with source evidence
Design output that helps a person check claims against the supplied material.
Read the guide →Step 4
Set boundaries for untrusted model input
Treat source documents as data and limit the actions a model-driven workflow can take.
Read the guide →Step 5
Handle model timeouts and retries deliberately
Keep expensive AI work bounded and avoid duplicate jobs when the network is uncertain.
Read the guide →Step 6
Test data permissions with two accounts
Verify that every read, write, and download uses trusted ownership checks.
Read the guide →Make the path concrete
Choose one exercise and use your own project as the example. The free scorecard and interactive tools help turn reading into a next decision.