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,
 +  }
  }

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."

Your Output, Evidence or Link:

YOUR WORKING NOTES & EVIDENCE (AUTO-SAVED TO DEVICE)

STEP REFLECTION

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

Discussion on Step 01 (0)

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LAB COMPANION SANDBOX

Explore the Production Architecture in Real-Time

See how this track connects to Abeta's open-source primitives. Test live latency benchmarks, CRDT vector clocks, and hardware-accelerated nodes in the browser sandbox.

Launch Sandbox ↗

AI product experiments

Define a narrow, verifiable workflow

Explore the Production Architecture in Real-Time