1 min lesson
Prompt and context strategy
Work through this case: "A trial team reports the agent's output is 'mediocre.' Before blaming the model, what do you investigate?" Say what you would do and why.
Step 1 of 2
Prompt and context strategythe difference between reliable and noisy output
Most disappointing output traces back to missing context, not a weak model. Coaching engineers to give the agent the right files, the right rules and a clear intent is the skill that turns a frustrated trial user into a daily user.
Coaching the difference: a vague ask vs. a context-rich one
# Weak - no files, no intent, no constraints "fix the checkout bug" # Strong - scoped context, clear intent, explicit guardrails "@checkout.ts @cart.ts the total is wrong when a coupon is applied. Trace where discount is computed, fix it and add a failing test that reproduces the coupon case. Use integer cents (see project rules)."