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Offer interview and pre-sell loop

Runs consent-based interviews, synthesizes evidence, and prepares a bounded pre-sell offer with human-controlled outreach and payment decisions.

Setup capital
Under $100
Monthly cost
$0–50
Setup time
3–6 hours
Weekly effort
5–10 hours
First dollar
1–4 weeks
Sales burden
Human closing

User-selected scenario, not an expected outcome.

Every consequential external action pauses for explicit human approval.

Autonomy by business phase

Current level 2/5. Potential level 3/5 in 3–6 months.

1

Validate

Human-led

Humans conduct interviews; AI organizes the evidence.

2

Build

AI-assisted

AI drafts the offer from approved evidence.

3

Acquire customers

AI-executed with approval

AI drafts messages, but every send requires approval.

4

Deliver

Human-led

The human promises and fulfills the pre-sold outcome.

5

Collect and operate

Human-led

The human controls payments, refunds, and the decision.

AI responsibilities

  • Prepare questions
  • Synthesize interviews
  • Track patterns
  • Draft the offer and outreach

Human responsibilities

  • Approve and send outreach
  • Conduct calls
  • Obtain consent
  • Approve promises and handle all payments/refunds

Approval gates

Approval applies to the exact action once. It is not blanket permission.

Explicit approval

Outreach

Approve each recruitment or pre-sell message before sending.

Acquire customers
Explicit approval

Call

The human schedules and conducts every interview or closing call.

Validate
Explicit approval

Publish

Approve the final pre-sell page and all claims before publication.

Acquire customers
Explicit approval

Contract

The human approves terms, refund policy, and customer commitment.

Collect and operate
Explicit approval

Activate live payments

Only the human may configure or activate a payment method.

Collect and operate
Runnable loop

Copy the complete asset

SETUP: Define one buyer, one painful job, the evidence threshold for continuing, consent language, a neutral interview guide, a refund policy, and a state ledger. Do not contact anyone yet.

EACH CYCLE: (1) Research up to five suitable participants using permitted sources. (2) Draft individualized recruitment messages and wait for explicit human approval. (3) A human sends the messages and conducts the interviews. (4) Record consented notes without inventing quotes. (5) Synthesize repeated pains, current workarounds, urgency, and commitment evidence. (6) After at least five qualified interviews, draft a small pre-sell offer with scope, price hypothesis, delivery date, exclusions, and refund terms. (7) Wait for human approval before publication, sending, contracting, or activating payments. (8) Log only real replies, commitments, payments, and refunds supplied by the human. (9) Recommend continue, pivot, or stop against the declared threshold.

STOP on consent concerns, complaints, refund ambiguity, unsupported claims, or ten qualified interviews without repeated urgent pain. ESCALATE regulated, legal, tax, privacy, or contract questions to a qualified human.

SETUP
1. Buyer and problem hypothesis
2. Consent and interview guide
3. Evidence threshold
4. Refund policy
5. State ledger

RECURRING CYCLE
1. Prepare approved recruitment batch
2. Conduct human interview
3. Synthesize evidence
4. Draft bounded offer
5. Approve external actions
6. Log actual results
7. Decide continue, pivot, or stop

STATE TRACKING
1. Prospect
2. Consent
3. Interview date
4. Pain evidence
5. Objections
6. Commitment
7. Payment/refund supplied by human
8. Decision

APPROVAL POINTS
1. Outreach — Explicit approval: Approve each recruitment or pre-sell message before sending.
2. Call — Explicit approval: The human schedules and conducts every interview or closing call.
3. Publish — Explicit approval: Approve the final pre-sell page and all claims before publication.
4. Contract — Explicit approval: The human approves terms, refund policy, and customer commitment.
5. Activate live payments — Explicit approval: Only the human may configure or activate a payment method.

STOP CONDITIONS
1. No repeated pain after ten qualified interviews
2. Consent or refund issue
3. Unsupported claim required

ESCALATION RULES
1. Escalate privacy and regulated-advice issues
2. Escalate contracts, tax, disputes, and refunds

Evidence record

Projected scenarios never appear here as observed outcomes.

Evidence stateDraft

Loop structure is complete but has not run with participants.

Experiment count0 recorded

No model test date recorded

Supported modelOpenAI GPT-5

Catalog baseline; exact version must be recorded at first test

Stop and escalate

  • Ten qualified interviews produce no repeated urgent pain
  • A complaint, consent problem, or refund ambiguity appears
  • The offer would require unsupported claims
  • Sensitive personal data
  • Regulated advice
  • Contract, tax, or refund dispute

Known failure modes

  • Leading interview questions
  • Counting compliments as commitments
  • Inventing deposits or buyer quotes

Prerequisites and changelog

A founder with a problem hypothesis but little direct buyer evidence. · Learn whether a narrow buyer will commit before investing in a full build.

Before you start

  • Narrow buyer hypothesis
  • Ability to conduct interviews
  • A clear refund policy before accepting money
  • Customer interviews
  • Listening
  • Basic offer design

Changelog

  • 1.0.0 · 2026-07-12 — Initial launch workflow.