AI Deliberator
Guides
How to use AI DeliberatorView all 58 guides

Getting started

Evaluate and export a Council runHow to ask a better decision questionHow to choose models for an AI councilRun your first AI councilUse the Consideration MapContinue a decision with follow-up questionsEstimate and control LLM costs

Everyday decisions

Use an AI council for a career changeEvaluate a leadership role or promotionThink through a relationship decisionDecide whether to move to a new cityCompare degrees, certificates, and education optionsAnalyze a major purchaseUse live evidence mode

Work and teams

Use deliberation for a business strategy decisionSupport a hiring decision responsiblyPrioritize a product roadmapRun a decision pre-mortemMap a stakeholder disagreementAnalyze a policy proposal

Research design

Duplicate and pilot an experimentDesign an LLM deliberation experimentDefine outcomes and dependent variablesConfigure experimental conditions and independent variablesCompare deliberation with homogeneous reconsiderationBuild an independent model ensembleUse randomization, replications, and compute matching

Participant studies

Build a participant interaction studyDesign pre- and post-interaction questionnairesChoose Likert, slider, and questionnaire formatsAdd attention, manipulation, and exposure checksAnalyze and export participant-study resultsBuild a composable experiment timelineMeasure human–AI advice relianceAdd process tracing and cognitive tasksRun a human deliberation conditionBuild a human–AI hybrid deliberation chainRun a text, image, or video stimulus experimentRun a learning and tutoring experimentPlan a powered participant studyMonitor recruitment, cost, and attrition

Behavioral games

Design a behavioral economics gameRun a Dictator GameRun an Ultimatum GameRun a Trust or Investment GameRun a Prisoner’s DilemmaRun a Public Goods GameRun a Stag Hunt GameConfigure game payoffs, incentives, and feedbackManage private game links, consent, and completion

Benchmarks and results

Select benchmark questions and subsetsRun MMLU-Pro in AI DeliberatorRun PolicyBench for public-policy reasoningRun CogToM for social cognitionCreate and read 95% confidence-interval plotsCollaborate and preserve a reproducible experiment recordAnalyze sentiment and quantitative text metricsCompare two Council runs
Workspace

Everyday decisions

Analyze a major purchase

Use a council to test affordability, alternatives, total ownership cost, timing, and downside risk before a major purchase.

The basic idea

The sticker price is only one consideration. A disciplined analysis includes financing, maintenance, insurance, resale, opportunity cost, usage, and the consequences of being wrong.

Example

Compare buying a car, renovating a home, or purchasing expensive equipment against renting, delaying, repairing, or choosing a smaller option.

How to do it

  1. 1

    State the need the purchase solves and how frequently you will use it.

  2. 2

    Provide purchase price, financing terms, recurring costs, useful life, and likely resale value.

  3. 3

    Ask one model to challenge the need and another to identify hidden ownership costs.

  4. 4

    Request thresholds: the price, interest rate, or usage level at which the recommendation changes.

What to watch for

  • Verify financial calculations and contract terms independently.
  • Sunk costs should not determine whether additional spending is wise.
  • A council cannot inspect the item or guarantee future market value.

What a useful result looks like

The decision memo should distinguish affordability from value and identify the conditions under which buying now beats the alternatives.