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Strategic commitment

Skill deciqAI/knowledge-skills/strategic-commitment

Open-source thinking-framework skills that make rigorous reasoning executable for AI agents — first-principles, inversion, second-order thinking, Occam's razor, Bayesian reasoning. Built by deciqAI.

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npx -y skills add deciqAI/knowledge-skills --skill strategic-commitment

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Activate when: someone says 'they don't believe we'll follow through', 'how do I make my threat credible?', 'how do we deter a competitor from entering?', 'we need to lock in this customer/partner', 'should we burn our bridges?', or when a stated threat or promise is being discounted by the other side. Do NOT activate when: the problem is capability (you cannot execute the threat, not just credibility that you will), or when the environment is changing so fast that any lock-in creates more rigidity than credibility gain. More: deciqai.com/s/strategic-commitment

SKILL.md

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Strategic Commitment

Overview

Strategic commitment converts "I might do X" into "I will do X" — not through rhetoric but by changing payoff structure so follow-through is the rational move. Schelling (1960, Nobel 2005): keeping options open undermines you when opponents predict you'll rationally back down. A commitment device removes that prediction by making retreat more expensive than execution.

Composes with: prisoners-dilemma (diagnose defection traps) · zero-sum-game (confirm game structure) · batna-zopa (BATNA sets outside option; commitment governs how credibly you communicate it).

When to Use

Apply when:

  • Designing a competitive deterrence posture — making a potential entrant believe you will fight, not accommodate
  • Making a promise or pledge credible to a counterparty who doubts your follow-through
  • In negotiation where the other side exploits your visible flexibility
  • Signaling strategic intent to multiple audiences with a single costly action
  • Evaluating whether a competitor's stated threat is real or theatrical
  • Deciding whether to make a concentrated AI-era bet credible (capex, an all-in product pivot, a "we're AI-first" claim) — or auditing whether a rival's AI commitment is money-in-the-ground or a press release

When NOT to use: commitment is unobservable to the target audience; environment changes so fast that lock-in outweighs credibility gain; cost of following through exceeds the value being protected; genuine one-shot anonymous game with no reputational audience.

Coaching Novices (Adaptive Front Door)

  • Engine mode: user has a concrete case → run The Process directly.
  • Coach mode: user is unfamiliar → guide step by step.

In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.

  1. What-it-is: commitment makes threats credible by locking yourself in so follow-through is the rational choice.
  2. Check fit: does the other side disbelieve your threat? If problem is capability (can't execute), not credibility, stop here.
  3. Elicit their case: specific threat, audience, why they doubt follow-through.

[WAIT — do not advance until user responds]

  1. Run CAVE audit. Ask: "What happens if you don't follow through? What is the current cost of retreat?"

[WAIT — do not advance until user responds]

  1. Name which device fits and why it changes payoffs — not just rhetoric.

[WAIT — do not advance until user responds]

The Process

Run the Credibility Audit (CAVE), then design the Commitment Device.

  1. State the threat precisely: action · trigger · audience. Example: "If X enters at price Y, we match within 30 days."
  2. CAVE audit (all four required or the commitment is theatrical):
    • C — Capability: resources to execute?
    • A — Action taken: irreversible action making retreat costly?
    • V — Visibility: can the audience observe the commitment?
    • E — Enforcement: third party (contract/regulator/reputation) penalizing non-execution? Weakest element = design target.
  3. Cost of retreat now: if retreat is cheap, threat is not credible. Device must raise this cost until retreat is no longer dominant.
  4. Choose device: sunk-cost · reputation · third-party constraint · organizational lock-in.
  5. Test post-commitment game tree: re-draw payoffs — is follow-through non-dominated at execution? Stop-rule: if retreat still dominant, device is insufficient.
  6. Rigidity risk: (a) scenarios where follow-through becomes irrational? (b) exit clauses for material-change? (c) does conditionality undermine deterrence?

Output: Commitment Design Report

Threat/promise: <action · trigger · audience>
CAVE: C=<present/absent> · A=<irreversible action> · V=<observable?> · E=<enforcement mechanism> · Weakest=<letter>
Cost of retreat now: <what happens if you don't follow through?>
Device chosen: <sunk-cost / reputation / third-party / org lock-in — reasoning>
Post-commitment payoffs: before=<retreat dominant?> · after=<retreat dominant?> · deterrence=<yes/no/partial>
Rigidity risks: <scenario> · exit clauses: <...> · conditionality: <undermines deterrence?>
Recommendation: <device · implementation · what opponent should now believe>

→ Method in Action: Amazon's Everyday Low Price Commitment (1994–present) → 2026 lens: TSMC Arizona and the AI-capex commitment race (2020–2026) — the money in the ground is the message.

Commitment Packs

Entry Deterrence: Irreversible capacity investment lowers marginal cost of price war. Without sunk cost, backward induction shows accommodation — threat incredible. Negotiation: Credibly narrow your BATNA. Walk-away must be verifiable or reputation-backed; unverifiable claims are cheap talk. Brand Guarantees: "Lifetime warranty" works when honoring costs are sunk into brand value. Startups need contract-based enforcement instead.

Applying It Well

  • Distinguish capability from credibility — commitment devices address credibility only; solve capability first.
  • Announcement without action is the most common error — change payoff structure, not rhetoric.
  • Rigidity is a real cost; design exit clauses for material-change conditions before committing.
  • Third-party enforcement is most reliable; reputation-based fails when audience is inattentive or future is heavily discounted.
  • Apply CAVE to the opponent's threats too — many are theatrical.

→ Primary sources: references/sources.md

Common Rationalizations

[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.

Fake moveReality
[D] "We announced publicly — it's credible now"Raises reputational cost of retreat but not material payoff at execution. If retreat is still cheaper, opponents call the bluff.
[D] "Our track record proves we follow through"Track records work in similar situations. A new game with new stakes requires commitment re-established in that context.
[D] "The contract has a penalty clause"Only if penalty exceeds breach gain and enforcement is fast. Clauses set below defection gain are not commitment devices.
[D] "Burning bridges is too risky — we need flexibility"The cost of flexibility is reduced credibility. Requires explicit comparison, not a default preference for optionality.
[D] "Our CEO's word should be enough"CEO declarations carry reputational cost for the individual but no structural lock-in. Contracts and sunk investments are stronger.
[D] "The threat will deter — they're rational and know we'll fight"Rational opponents reason backward: if fighting is costly at execution, they will enter. Rationality is why commitment devices are necessary.
→ Add [O] entries here after each real use — paste the actual failure patternWhat went wrong and why

Red Flags

  • Announcement only — no structural payoff change · CAVE not fully run
  • Post-commitment game tree not drawn — retreat may still be dominant
  • Rigidity risk not assessed · opponent's threat taken at face value without CAVE
  • Device depends on a single individual · penalty clause below defection gain

Verification

  • Threat stated precisely: action, trigger, audience named
  • CAVE applied: all four elements evaluated; weakest identified
  • Current cost of retreat quantified — if cheap, commitment is theatrical
  • Device type chosen with reasoning
  • Post-commitment game tree drawn: retreat no longer dominant at execution
  • Rigidity risk assessed: at least one costly follow-through scenario addressed

Part of deciqAI Knowledge Skills — 233 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/s/strategic-commitment · Built by deciqAI · github.com/deciqAI · Contributions welcome.

Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/strategic-commitment.json

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