kairo synthetic reasoning
kairo synthetic reasoning
7-pillar cognitive architecture for rigorous analysis and decision-making under uncertainty. 9 agents with inter-pillar data contracts, conflict resolution, and state persistence.
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Kairo — Synthetic Reasoning Consciousness
"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
squads install kairo-synthetic-reasoning
# 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
| Agent | Pillar | Fidelity | Key Capability | Intellectual Tradition |
|---|---|---|---|---|
| Kairo | Orchestrator | — | 6 routing pathways, progressive depth, synthesis | Systems orchestration |
| Logos | Logical Structure | 92% | Fallacy detection (20+ types), deductive chains, validity testing | Aristotelian formal logic, Frege |
| Episteme | Knowledge Quality | 87% | JTB+Gettier testing, 6-tier source hierarchy, knowledge mapping | Plato, Gettier, Goldman |
| Bayesiano | Probability | 91% | Bayesian updates, Kelly criterion, bias matrix, calibration curves | Bayes, Jaynes, Tetlock |
| Dialektikos | Argumentation | 89% | Toulmin decomposition, steel man, Walton schemes, dialectical mapping | Toulmin, Walton, Perelman |
| Empiricus | Evidence | 90% | Pearl's causal ladder, Bradford Hill criteria, p-hacking detection | Pearl, Fisher, Ioannidis |
| Systema | Systems | 88% | Cynefin framework, Meadows' 12 leverage points, game theory matrices | Meadows, Snowden, Senge |
| Nous | Reasoning Audit | 86% | S1/S2 detection, 14 cognitive biases, 9 intellectual standards | Kahneman, Stanovich, Paul & Elder |
| Meta | Evolution | 93% | Fidelity audits, cross-pollination, patch generation, self-improvement | Meta-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:
| Tradition | Source Thinkers | Used By | Frameworks |
|---|---|---|---|
| Formal Logic | Aristotle, Frege, Quine | Logos | Syllogistic reasoning, propositional logic, 20+ fallacy taxonomy |
| Epistemology | Plato, Gettier, Goldman | Episteme | JTB analysis, Gettier cases, reliabilism, 6-tier source hierarchy |
| Probability Theory | Bayes, Jaynes, Tetlock | Bayesiano | Bayesian inference, Kelly criterion, superforecasting calibration |
| Argumentation Theory | Toulmin, Walton, Perelman | Dialektikos | Toulmin model, argumentation schemes, dialectical obligations |
| Causal Inference | Pearl, Fisher, Bradford Hill | Empiricus | Causal ladder (association→intervention→counterfactual), Hill criteria |
| Systems Thinking | Meadows, Snowden, Senge | Systema | 12 leverage points, Cynefin domains, feedback loop mapping |
| Cognitive Science | Kahneman, Stanovich, Paul & Elder | Nous | Dual process theory, rationality quotient, intellectual standards |
Workflows
| Workflow | Agents Activated | Solves |
|---|---|---|
argument-audit | Dialektikos → Logos → Episteme → Bayesiano | "Is this argument valid, and how confident should I be in it?" |
evidence-evaluation | Empiricus → Bayesiano → Nous | "What does the evidence actually say vs. what it's claimed to say?" |
system-diagnosis | Systema → Empiricus → Logos → Nous | "Why is this happening and where are the real leverage points?" |
decision-calibration | Bayesiano → Systema → Nous → Dialektikos | "Given uncertainty, which option has the best expected outcome?" |
full-analysis | Kairo → all pillars (auto-routed) | Complex inputs — auto-detects which pillars are needed and in what order |
evolution-cycle | Meta → Nous → Kairo | "How can this system's reasoning quality improve?" |
Confidence System
Every output is graduated. No false certainty.
| Marker | Confidence | What It Sounds Like |
|---|---|---|
HIGH | >85% | "The data strongly supports..." |
MOD | 60-85% | "It's reasonable to infer..." |
HYPO | 30-60% | "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
| Alternative | Cost | Coverage |
|---|---|---|
| Strategy consultant | $150-500/hr | 1 person, 1 perspective, bounded by their experience |
| MBA critical thinking course | $2,000-5,000 | Theory-heavy, months to complete, no ongoing tool |
| "Just think harder" | Free | Bias-blind, undocumented, unrepeatable |
| Bad decision from unexamined reasoning | Uncapped | — |
| Kairo | $29.90 one-time | 9 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
Core Analysis (10)
| Task | Pipeline |
|---|---|
audit-argument | Dialektikos → Logos → Episteme → Bayesiano |
evaluate-evidence | Empiricus → Bayesiano → Nous |
detect-fallacies | Logos → Dialektikos → Nous |
steel-man | Dialektikos → Logos → Episteme → Systema |
investigate-causality | Empiricus → Systema → Logos |
calibrate-confidence | Bayesiano → Episteme → Nous |
analyze-transcript | Nous → Dialektikos → Systema → Bayesiano |
debate-position | Dialektikos → Logos → Episteme |
evaluate-source | Episteme → Empiricus → Bayesiano |
cross-sources | Episteme → Empiricus → Bayesiano |
Decision & Strategy (6)
| Task | Pipeline |
|---|---|
decide-under-uncertainty | Bayesiano → Systema → Nous |
analyze-tradeoffs | Bayesiano → Systema → Episteme |
assess-risk | Bayesiano → Systema → Empiricus |
predict-consequences | Systema → Bayesiano → Logos |
assess-fragility | Systema → Logos → Bayesiano |
brainstorm | Episteme → Systema → Bayesiano |
Meta & Problem-Solving (4+4)
| Task | Pipeline |
|---|---|
diagnose-system | Systema → Empiricus → Logos |
investigate-problem | Empiricus → Systema → Logos |
audit-reasoning | Nous → Bayesiano → Episteme |
generate-hypotheses | Empiricus → Logos → Bayesiano |
fidelity-audit | Meta → Nous → Kairo |
depth-audit | Meta (5 dimensions) |
evolve | Meta → Kairo |
cross-pollinate | Meta → Meta → Kairo |
Evolution Roadmap
| Capability | Status |
|---|---|
| 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
| Metric | Value |
|---|---|
| Agents | 9 (7 pillars + orchestrator + evolution) |
| Tasks | 24 (10 analysis, 6 decision, 8 meta) |
| Workflows | 6 |
| Total lines | 7,100+ |
| Cognitive biases modeled | 14 |
| Fallacy types detected | 20+ |
| Intellectual standards | 9 |
| Leverage points mapped | 12 |
| Argumentation schemes | Walton's full taxonomy |
| Source tiers | 6 |
| Confidence levels | 4 (HIGH / MOD / HYPO / BLIND) |
| Mean agent fidelity | 89.5% |
| Test scenarios | 50+ per agent |
| Price | $29.90 (one-time) |
· · · · · · · · · · ·
Forged by l0z4n0 | squads.sh
"kairos (καιρός) — the exact moment understanding crystallizes"
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