KERNEL — measurable impact
KERNEL — measurable impact
Distillation — one idea, in my words
- Write the irreducible insight. 50–120 words.
- State the claim/definition in one sentence first.
- Remove source phrasing; keep mechanism or rule.
- If you feel the need for “and,” split into another atom.
Applying KERNEL to real workloads increases first-try success and throughput while cutting tokens and revisions. Treat prompt patterns as an ops lever with trackable KPIs.
Why it matters – 1-3 bullets on utility, mechanism, implication.
- What decision does this change?
- What prediction does this enable?
- What failure does this prevent?
- Justifies adoption with numbers.
- Guides A/B testing for prompt variants.
- Aligns team habits with business outcomes.
Links
- Does this collide/agree with an existing atom?
- Add at least one forward link to a molecule/canonical note.
- Add one tag-like topic (2–5 terms, not a dump).
- Broader topic: #promptops
- Related atoms: KERNEL — Easy to verify, KERNEL — Logical structure (CTCF)
- Upstream source note:
Source excerpt (optional)
Paste exact quote or figure caption.
“First-try success ↑, time ↓, tokens ↓, revisions ↓.”
Citation block (optional)
Source: {{source}} • Page: {{page}} • Key: {{citekey}}
volodith. “After 1000 Hours of Prompt Engineering, I Found the 6 Patterns That Actually Matter.” Reddit, r/PromptEngineering, September 29, 2025. https://www.reddit.com/r/PromptEngineering/comments/1nt7x7v/after_1000_hours_of_prompt_engineering_i_found/.