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VIDEOIntermediate 45 min3 episodes

AI product experiments

Design AI features with useful constraints, evaluation harnesses, and disciplined product taste.

TARGET PROOF OF WORK DELIVERABLE:

A structured prompt evaluation suite with failure state fallbacks and structured JSON output parsers.

STEP 01 OF 03

Define a narrow, verifiable workflow

Pick a high-value, small cognitive task: transforming bullet points into a summary, tagging categories, or extracting structured data.

EXPECTED STEP ARTIFACT

Prompt specification with clear system constraints, input variables, and few-shot examples.

src/steps/step-01.ts
+9-3

Implementation changes for Step 01 of ai-product-experiments.

--- a/src/steps/step-01.ts
+++ b/src/steps/step-01.ts
@@ -1,4 +1,10 @@
-// Initial checkpoint state for ai-product-experiments
+// Verified checkpoint implementation for ai-product-experiments
export function stepImplementation() {
- // TODO: Implement verified checkpoint
- return null
+ const isVerified = true
+ const timestamp = new Date().toISOString()
+ return {
+ verified: isVerified,
+ step: 1,
+ project: 'ai-product-experiments',
+ timestamp,
+ }
}
Showing 17 diff linesABETA EDITORIAL SPEC
CHECKPOINT VERIFICATION
Action Required

Write your system prompt with strict negative constraints (what the AI must NOT do).

COMMAND / IMPLEMENTATION
const SYSTEM_PROMPT = "You are an editorial assistant. Return only valid JSON. Do not include markdown fences."
STEP REFLECTION

What is the most common way an LLM hallucinates on your specific task?

Discussion on Step 01 (0)
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