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

Compare degrees, certificates, and education options

Evaluate educational choices using career value, learning goals, debt, time, completion risk, and alternative paths.

The basic idea

Education is both an investment and a personal project. A council can keep credential value, actual skill development, networking, cost, and time separate so a prestigious label does not dominate the analysis.

Example

Compare a part-time master’s degree, a focused certificate, employer-funded training, and self-directed study for a specific career transition.

How to do it

  1. 1

    State the job or capability the education is supposed to unlock.

  2. 2

    Include tuition, aid, foregone income, weekly hours, travel, and completion probability.

  3. 3

    Ask a fact-checker to identify employment statistics or accreditation claims that need verification.

  4. 4

    Request break-even conditions and a cheaper alternative that tests your commitment first.

What to watch for

  • Published average outcomes do not guarantee individual returns.
  • Debt risk depends on cash flow and alternatives, not tuition alone.
  • Avoid treating learning and credential signaling as interchangeable.

What a useful result looks like

The output should clarify which option meets the real goal at an acceptable cost and which facts require direct confirmation.