61R-I · SCENARIO RUNNER ASSIMILATION

The AI does the legwork. The human gates commitments.

Assimilate the corrected autonomy model: TheoB plays scenarios to completion, investigates hidden real-world consequences, can request scoped broker/operator permission for calls, and only gates binding commitments.

Open Arena ShellScenario CompletionPlaybackScenariosText Receipt

CORRECTED GATE MODEL

Stop only at binding real-world commitments.

TheoB should play scenarios to completion before asking the user. The user should not have to direct the research, comparison, hidden-fee search, review search, call strategy, or decision tree.

After repeated approved actions, TheoB should learn the user's cadence and ask less often for process permission, while still stopping at financial or binding commitments.

SCENARIO WORK NOT GATED

TheoB should complete this before asking the user.

AI proceedsresearching public information
AI proceedschecking reviews and past user experiences
AI proceedsestimating taxes and hidden fees
AI proceedsreading contract terms
AI proceedscomparing cancellation difficulty
AI proceedschecking support reputation
AI proceedschecking calendar/user context
AI proceedssimulating multiple paths to completion
AI proceedsranking likely outcomes
AI proceedspreparing call scripts
AI proceedspreparing negotiation strategy
AI proceedspreparing broker/operator mission

GATED COMMITMENTS

Only these require final confirmation.

gatespending money
gatesigning or accepting a contract
gateusing sensitive credentials
gatesharing private identity data
gatesubmitting binding forms
gateproduction deploy
gateirreversible mutation

SCOPED BROKER / OPERATOR PERMISSION

The AI can ask once, then do the legwork inside scope.

broker/operator calls

Ask once for scoped permission: may I make calls on your behalf for this topic? If yes, AI/operator can do the legwork within that scope and return completed findings.

messages/emails

Ask once for scoped permission unless the user has established a recurring cadence. Final commitments still require confirmation.

negotiation

AI may negotiate information, ask questions, and collect options inside the scope. It must stop before agreeing to price, contract, identity transfer, or binding terms.

SCENARIO EXAMPLES

Surface offers are not enough; play the full path.

61RI-SCENARIO-VERIZON-001Verizon plan appears cheaper on the surface

Find out if the better plan is truly better before switching.

AI plays out
  1. Compare advertised monthly price
  2. Estimate taxes and surcharges
  3. Check contract/term details
  4. Check autopay/paperless requirements
  5. Check equipment fees
  6. Check activation/switching fees
  7. Check cancellation risk
  8. Search past user reviews and hidden-fee complaints
  9. Compare actual all-in cost after fees
  10. Prepare call questions
  11. Ask for scoped permission if a call is useful
  12. Return final recommendation
User sees

The surface price looks better, but after taxes/fees/contract risk it is or is not actually better. Here is the best route. Approve switch? Yes / No / Are you sure?

Gate: Switching plan, accepting contract, sharing account credentials, or spending money requires confirmation.

Permission: May I have the operator call Verizon on this plan comparison only and report back before any commitment?

61RI-SCENARIO-BROKER-002Internal broker makes calls on behalf of user

Do the legwork without making the user micromanage.

AI plays out
  1. Define call objective
  2. Prepare call script
  3. Set boundaries: no purchase, no contract, no identity disclosure beyond approved scope
  4. Ask for scoped permission
  5. Collect answers
  6. Compare outcomes
  7. Return completed recommendation
User sees

I called/checked within your approved scope. Here are the results, hidden risks, best path, and final gate.

Gate: Any binding action, money movement, contract, or sensitive account step requires confirmation.

Permission: Yes, call on this topic only / No, try another route.

61RI-SCENARIO-HOUSEHOLD-003Recurring mundane purchase cadence

Free the user from repetitive decision work.

AI plays out
  1. Detect purchase cadence
  2. Check current need
  3. Check travel/guests/calendar context
  4. Check price and availability
  5. Suggest ahead of need
  6. Stop at purchase gate
User sees

You usually need this every two weeks. You are traveling, so skip this one, or guests are coming, so order more. Confirm purchase?

Gate: Spending money requires confirmation.

Permission: Recurring cadence can reduce process questions but not eliminate purchase confirmation unless explicitly authorized.