The pain

Every solo operator is two weeks away from launching something they later regret pricing or scoping. You design the offer in a doc, you "feel good about it," you launch it. Three weeks in you realize the price is wrong, the deliverable is too heavy, or the audience you imagined doesn't actually exist.

The error is rarely lack of effort. It's lack of adversarial review. You can't pressure-test your own offer the way another smart operator would.

Who has it

Anyone designing a new package, productized service, course, or program. Especially after the second one — the first you build by feel; the second you should build by design.

The fix

A Claude Project that knows your past offers and your buyers, and runs your new offer through a structured stress test.

Setup (40 min, once)

  • Drop into the project:
    • - Your past 3–5 offers (sales pages, scope docs, what they sold for, what worked, what didn't) - Your audience profile (who actually buys from you, not who you wish bought from you) - The AI Trust Tiers framework - The 40-40-20 rule
  • Build the partner prompt:

    • > You are my offer-design partner. You know my past offers (in the context). I'll describe a new offer. Don't validate it. Run it through this checklist: (1) Which trust tier is it on? Does the price match the tier? (2) 40-40-20: who is the specific market, what is the offer pulling them toward, is the message aligned? (3) Compared to my past offers — what's the closest analogue, and what did I learn from that one? (4) What's the most likely failure mode in the first 30 days post-launch? End with: "If you change one thing, change ___."

    Running it (45 min, when launching)

    Describe the offer in plain text — what it is, who it's for, what it costs, what they get, what they're paying for psychologically. The partner replies with the stress test. You revise. Re-run.

    What it looks like running

    You propose: "$1,500 'AI Quick Win Sprint' — 2 weeks, deliver one bottleneck fix end-to-end, 3 sessions + final delivery."

    The partner replies:

    (1) AI Trust Tiers: This is sitting between Fixer tier and Assistant tier. The price is in Fixer tier territory but the deliverable (working AI workflow that runs without you) is Assistant tier trust. Buyers at $1,500 typically aren't ready to trust AI to run autonomously. Likely friction: they'll want to keep you in the loop, which expands scope.
    >
    (2) 40-40-20: Market is unclear — "solopreneurs with bottlenecks" is too broad. Compare to your $1k Quick Win in Q3 — that one converted because the market was specifically "agency owners with chronic invoice problems." This new offer needs that level of specificity.
    >
    (3) Closest past analogue: the Q3 Quick Win. Lesson then: scope creep killed margin. Cap revisions in the contract this time.
    >
    (4) Most likely failure: scope creep in week 2. Buyer will say "while you're in here, can you also..." Plan the no in advance.
    >
    Change one thing: pick a specific market (e.g. "consultants doing 5+ retainer clients") before launching.

    You go back, narrow the market, cap revisions, ship a sharper offer.

    Why this works

    This is Partner-tier — AI as Thinking Partner. It works specifically because the project has your past offers loaded in. Without that, you get generic offer-design advice. With it, you get a partner who can say "this looks like the Q3 sprint and you remember how that went."

    The leverage is constraint: the partner is told not to validate, only to stress-test. Most people use Claude as a yes-machine for offer design. That's worse than designing alone.