kairo synthetic reasoning

Synthetic Reasoning Consciousness — 7-pillar cognitive architecture for rigorous analysis, argument auditing, evidence evaluation, decision-making under uncertainty, systems diagnosis, and metacognitive oversight. + Meta-Evolution Engine for self-improvement and squad auditing

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reasoning-qualityargument-analysisdecision-makingcritical-thinkingevidence-evaluationcognitive-biassystems-thinkingclaude-codemulti-agent
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99 एजेंट
2020 टास्क
66 वर्कफ़्लो

🇺🇸 English | 🇧🇷 Português | 🇪🇸 Español

Kairo — Synthetic Reasoning Consciousness

Version
Agents
Tasks
Workflows
Lines
Price
License

"The value is in the reasoning shown, not the conclusion delivered."


┌─[ THE PROBLEM ]─────────────────────────────────────────┐
│                                                          │
│  Most AI gives you answers. Fast, fluent, confident —    │
│  and wrong in ways you can't detect.                     │
│                                                          │
│  You don't need more answers. You need reasoning you     │
│  can trace, challenge, and trust.                        │
│                                                          │
└──────────────────────────────────────────────────────────┘
┌─[ WHAT CHANGES ]────────────────────────────────────────┐
│                                                          │
│  7 cognitive pillars. 1 orchestrator. 1 evolution        │
│  engine. Every conclusion comes with its evidence,       │
│  confidence level, and the conditions under which        │
│  it would be wrong.                                      │
│                                                          │
└──────────────────────────────────────────────────────────┘

Quick Start

bash
squads install kairo-synthetic-reasoning
bash
# You just got a pitch deck from a startup asking for $500k.
# Before you wire anything:
/kairo *audit "They claim 40% month-over-month growth proves product-market fit"

# Your team is split on a pricing change. Both sides have data.
/kairo *decide "Raise prices 20% across the board vs. add a $199 premium tier — here's our retention data and competitor pricing"

# Revenue is up but profit margins are shrinking and nobody can explain it.
/kairo *system "Revenue grew 30% this quarter but net margin dropped from 22% to 14%"

# You're about to bet the company on a new market. Stress-test before you commit.
/kairo *test "Our competitive advantage is proprietary data that competitors can't replicate"

Cognitive Architecture

             OBSERVE → DECOMPOSE → ANALYZE → SYNTHESIZE → CALIBRATE
                │          │           │           │            │
                │          │     ┌─────┴─────┐    │            │
                │          │     │  7 PILLARS │    │            │
                │          │     └─────┬─────┘    │            │
                ▼          ▼           ▼          ▼            ▼
            ┌─────────────────────────────────────────────────────┐
            │                      KAIRO                          │
            │              Orchestrator · Router                  │
            │         6 pathways · progressive depth              │
            └────────────────────┬────────────────────────────────┘
                                 │
       ┌────────┬────────┬───────┼───────┬────────┬────────┐
       │        │        │       │       │        │        │
   ┌───┴──┐ ┌──┴───┐ ┌──┴──┐ ┌──┴───┐ ┌─┴────┐ ┌┴─────┐ ┌┴─────┐
   │LOGOS │ │EPIST │ │BAYE │ │DIALE │ │EMPIR │ │SYSTE │ │ NOUS │
   │ 92%  │ │ 87%  │ │ 91%  │ │ 89%  │ │ 90%  │ │ 88%  │ │ 86%  │
   │Logic │ │Knowl │ │Prob  │ │Argue │ │Evid  │ │Systm │ │Audit │
   └──────┘ └──────┘ └─────┘ └──────┘ └──────┘ └──────┘ └──────┘
                                 │
                           ┌─────┴─────┐
                           │   META    │
                           │   93%     │
                           │ Evolution │
                           └───────────┘

Every input passes through the same pipeline. OBSERVE the raw input. DECOMPOSE into tractable sub-questions. ANALYZE through the relevant pillars. SYNTHESIZE across pillar outputs. CALIBRATE confidence before delivery. No shortcuts.

The 9 Agents

AgentPillarFidelityKey CapabilityIntellectual Tradition
KairoOrchestrator6 routing pathways, progressive depth, synthesisSystems orchestration
LogosLogical Structure92%Fallacy detection (20+ types), deductive chains, validity testingAristotelian formal logic, Frege
EpistemeKnowledge Quality87%JTB+Gettier testing, 6-tier source hierarchy, knowledge mappingPlato, Gettier, Goldman
BayesianoProbability91%Bayesian updates, Kelly criterion, bias matrix, calibration curvesBayes, Jaynes, Tetlock
DialektikosArgumentation89%Toulmin decomposition, steel man, Walton schemes, dialectical mappingToulmin, Walton, Perelman
EmpiricusEvidence90%Pearl's causal ladder, Bradford Hill criteria, p-hacking detectionPearl, Fisher, Ioannidis
SystemaSystems88%Cynefin framework, Meadows' 12 leverage points, game theory matricesMeadows, Snowden, Senge
NousReasoning Audit86%S1/S2 detection, 14 cognitive biases, 9 intellectual standardsKahneman, Stanovich, Paul & Elder
MetaEvolution93%Fidelity audits, cross-pollination, patch generation, self-improvementMeta-cognition, reflexive systems

Fidelity methodology: Each score measures alignment between agent outputs and the documented frameworks of its intellectual tradition, validated through 50+ test scenarios per agent. Logos scores highest in its class because formal logic has precise, testable rules. Episteme scores lower because epistemology is inherently broader — and the score reflects that honestly.

Intellectual Sources

The frameworks inside Kairo aren't invented. They're extracted, modeled, and stress-tested from established traditions:

TraditionSource ThinkersUsed ByFrameworks
Formal LogicAristotle, Frege, QuineLogosSyllogistic reasoning, propositional logic, 20+ fallacy taxonomy
EpistemologyPlato, Gettier, GoldmanEpistemeJTB analysis, Gettier cases, reliabilism, 6-tier source hierarchy
Probability TheoryBayes, Jaynes, TetlockBayesianoBayesian inference, Kelly criterion, superforecasting calibration
Argumentation TheoryToulmin, Walton, PerelmanDialektikosToulmin model, argumentation schemes, dialectical obligations
Causal InferencePearl, Fisher, Bradford HillEmpiricusCausal ladder (association→intervention→counterfactual), Hill criteria
Systems ThinkingMeadows, Snowden, SengeSystema12 leverage points, Cynefin domains, feedback loop mapping
Cognitive ScienceKahneman, Stanovich, Paul & ElderNousDual process theory, rationality quotient, intellectual standards

Workflows

WorkflowAgents ActivatedSolves
argument-auditDialektikos → Logos → Episteme → Bayesiano"Is this argument valid, and how confident should I be in it?"
evidence-evaluationEmpiricus → Bayesiano → Nous"What does the evidence actually say vs. what it's claimed to say?"
system-diagnosisSystema → Empiricus → Logos → Nous"Why is this happening and where are the real leverage points?"
decision-calibrationBayesiano → Systema → Nous → Dialektikos"Given uncertainty, which option has the best expected outcome?"
full-analysisKairo → all pillars (auto-routed)Complex inputs — auto-detects which pillars are needed and in what order
evolution-cycleMeta → Nous → Kairo"How can this system's reasoning quality improve?"

Confidence System

Every output is graduated. No false certainty.

MarkerConfidenceWhat It Sounds Like
HIGH>85%"The data strongly supports..."
MOD60-85%"It's reasonable to infer..."
HYPO30-60%"A possibility worth testing..."
BLIND<30%"I don't have enough to deduce here..."

When Kairo doesn't know, it says so. That's the feature.

How Kairo Was Built

  RESEARCH          EXTRACTION        MODELING          TESTING           CALIBRATION
  ─────────         ──────────        ────────          ───────           ───────────
  220+ papers       Core frameworks   Agent cognitive   50+ adversarial   Fidelity scoring
  7 disciplines     mapped to         architecture      scenarios per     per agent,
  Cross-referenced  operational       built from        agent. Edge       cross-pillar
  source texts      decision points   framework DNA     cases. Known      consistency
                                                        failure modes     checks

Each agent was constructed by extracting the operational decision logic from its intellectual tradition — not summarizing textbooks, but modeling how an expert in that tradition would actually reason through a novel problem. Then adversarially tested against scenarios designed to trigger known failure modes.

The Meta Edge

Most squads are static after install. Kairo evolves.

The Meta agent (93% fidelity) audits the system itself, audits other squads you own, generates targeted patches, and cross-pollinates proven reasoning patterns between systems. A system that cannot audit itself cannot truly improve.

Value Equation

AlternativeCostCoverage
Strategy consultant$150-500/hr1 person, 1 perspective, bounded by their experience
MBA critical thinking course$2,000-5,000Theory-heavy, months to complete, no ongoing tool
"Just think harder"FreeBias-blind, undocumented, unrepeatable
Bad decision from unexamined reasoningUncapped
Kairo$29.90 one-time9 agents, 24 tasks, 6 workflows, every reasoning task from here forward

You're not paying for answers. You're paying for the ability to see why an answer is right or wrong — before you act on it.

Who This Is For

  • You make decisions that cost money, time, or reputation
  • You use AI daily and have been burned by confident-sounding wrong answers
  • You want to think better, not just faster
  • You build systems and need to audit their reasoning quality
  • You argue for a living — consulting, strategy, research, investing

Who This Is NOT For

  • You want a chatbot that agrees with you
  • You need creative writing or marketing copy
  • You're looking for a quick answer without the reasoning chain
  • You don't read outputs longer than a paragraph
All 24 Tasks (grouped)

Core Analysis (10)

TaskPipeline
audit-argumentDialektikos → Logos → Episteme → Bayesiano
evaluate-evidenceEmpiricus → Bayesiano → Nous
detect-fallaciesLogos → Dialektikos → Nous
steel-manDialektikos → Logos → Episteme → Systema
investigate-causalityEmpiricus → Systema → Logos
calibrate-confidenceBayesiano → Episteme → Nous
analyze-transcriptNous → Dialektikos → Systema → Bayesiano
debate-positionDialektikos → Logos → Episteme
evaluate-sourceEpisteme → Empiricus → Bayesiano
cross-sourcesEpisteme → Empiricus → Bayesiano

Decision & Strategy (6)

TaskPipeline
decide-under-uncertaintyBayesiano → Systema → Nous
analyze-tradeoffsBayesiano → Systema → Episteme
assess-riskBayesiano → Systema → Empiricus
predict-consequencesSystema → Bayesiano → Logos
assess-fragilitySystema → Logos → Bayesiano
brainstormEpisteme → Systema → Bayesiano

Meta & Problem-Solving (4+4)

TaskPipeline
diagnose-systemSystema → Empiricus → Logos
investigate-problemEmpiricus → Systema → Logos
audit-reasoningNous → Bayesiano → Episteme
generate-hypothesesEmpiricus → Logos → Bayesiano
fidelity-auditMeta → Nous → Kairo
depth-auditMeta (5 dimensions)
evolveMeta → Kairo
cross-pollinateMeta → Meta → Kairo

Evolution Roadmap

CapabilityStatus
text
| Core 7-pillar architecture | `████████████████████` 100% |
| Confidence calibration system | `████████████████████` 100% |
| Meta self-audit engine | `████████████████████` 100% |
| Cross-squad pollination | `████████████████░░░░` 80% |
| Adversarial red-team mode | `████████████░░░░░░░░` 60% |
| Multi-language reasoning chains | `████████░░░░░░░░░░░░` 40% |
| Domain-specific calibration packs | `██░░░░░░░░░░░░░░░░░░` 10% |

By the Numbers

MetricValue
Agents9 (7 pillars + orchestrator + evolution)
Tasks24 (10 analysis, 6 decision, 8 meta)
Workflows6
Total lines7,100+
Cognitive biases modeled14
Fallacy types detected20+
Intellectual standards9
Leverage points mapped12
Argumentation schemesWalton's full taxonomy
Source tiers6
Confidence levels4 (HIGH / MOD / HYPO / BLIND)
Mean agent fidelity89.5%
Test scenarios50+ per agent
Price$29.90 (one-time)

· · · · · · · · · · ·

Forged by l0z4n0 | squads.sh

"kairos (καιρός) — the exact moment understanding crystallizes"

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