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I've shown you Context Debt — the invisible tax every professional pays when AI doesn't know their business.
I've shown you the before/after — same prompt, same AI, outputs that look like they came from different tools.
This week: what actually separates them. The six-layer Context Stack. Not a prompt. Not a template. A structured document you build once and use on every serious AI interaction.
Here's what goes in each layer. One sentence is enough for each. You don't need paragraphs.
Layer 1 — Goal. What are you trying to accomplish, and how do you define success?
"Win a six-month consulting engagement. Success = signed proposal and client alignment meeting scheduled."
Layer 2 — Audience. Who is this for, and who decides whether it's good?
"The client is a VP of Marketing at a 200-person SaaS company. She reports to the CEO and needs ammunition for a budget conversation."
Layer 3 — Constraints. What can't the AI say, assume, or ignore?
"No travel required. Must integrate with HubSpot. Board wants measurable ROI within 90 days. Don't use the word 'synergy.'"
Layer 4 — Proof. What evidence, examples, or prior work should inform the output?
"I've run three similar engagements for mid-market SaaS companies. In each case, the diagnostic took 30 days and the fix was in sales-marketing handoff."
Layer 5 — Output format. What does the finished deliverable look like?
"Executive summary, three-phase timeline, deliverables per phase, pricing with milestone payments, one-page risk mitigation."
Layer 6 — Quality bar. What separates "good enough to send" from "rewrite it"?
"I'd send it without editing the structure. Specific enough that a stranger could understand the scope. No vague language."
That's the full system. Six layers. One structured document. Build it once for each type of work you do — client proposals, campaign briefs, sales sequences, board decks — and every AI interaction after that starts from a different place.
Context before command. That's the sequence. Not "write me a proposal" and then six rounds of editing. The stack first. The request after.
The difference in output isn't dramatic-sounding — it is dramatic. The generic version could be for any company on earth. The architected version names your client's problem, your engagement structure, your constraints. Minor edits and it's ship-ready.
That's not a prompt trick. That's a different input architecture.
Try this before your next deadline:
Take one piece of work you're doing this week. Write one sentence for each layer:
Goal: [one sentence]
Audience: [one sentence]
Constraints: [one sentence]
Proof: [one sentence]
Output format: [one sentence]
Quality bar: [one sentence]
Paste those six lines before your next prompt. Don't change the prompt. Just compare the output to what you normally get.
That's the system. Six lines. One document. Works on every tool — ChatGPT, Claude, Gemini, whatever you're using.
The complete framework I use with enterprise clients — adapted for solo operators and small teams. Build it in 60 minutes. Use it forever.
Not a prompt pack. Not a course. The actual system.
See you next week.
— Chris
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