Every relied-on claim keeps provenance, contradiction, freshness, and purpose.
KAYA
Kill All Your Assumptions
The scientific-method runtime for AI agents.
KAYA turns a question into a bounded investigation: expose the assumptions, choose a qualified environment, test the hypothesis, and validate the evidence before action.
- 13
- deliberate methods
- 8
- segmented control layers
- 0
- ambient authority paths
System tour
One inquiry. Six controlled stages.
Operating thesis
Models generate.
KAYA determines what earns belief.
Most agent systems collapse planning, execution, judgment, memory, and authority into one conversation. KAYA runs the scientific method as runtime state, then routes each stage into the smallest qualified harness.
Executor output remains a candidate until an independent validator accepts it.
A supported conclusion can propose action; it cannot authorize its own effect.
Expose assumptions
A question is never just a question.
KAYA decomposes an instruction into claims, unknowns, constraints, dependencies, and hidden premises before a model can turn ambiguity into irreversible work.
Incoming inquiry
Assumption register
What must be true before proceeding
Route the thinking
Different questions require different ways of knowing.
KAYA routes by question type, stakes, reversibility, evidence, time, and uncertainty. One orchestrating method owns the lifecycle; techniques assist, gates can stop, and retrospectives can propose change without rewriting history.
Canonical lifecycle
Every transition leaves an artifact
Turn thought into a project
Planning, building, and proof belong to different hands.
Once a thinking method produces an accepted design, KAYA compiles it into bounded work. An orchestrator coordinates, an executor builds, and an independent validator decides whether the candidate actually satisfies the frozen criteria.
- Input
- Accepted design + objective
- Contract
- 8 frozen criteria · 2-attempt ceiling
- Output
- Immutable candidate + evidence receipts
- Effect authority
- Human-owned integration and ship
Protocol demo Predetermined project evidence shows the control flow; this page does not mutate a repository or ship software.
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01 / Coordinate
Orchestrator
Decomposes the accepted design, assigns minimal environments, and compiles evidence-driven rework.
- Owns
- Plan · delegation · rework
- Cannot
- Write · validate · ship
Standing by
-
02 / Build
Executor
Works inside one scoped environment, runs sealed checks, and freezes an immutable candidate with receipts.
- Owns
- Bounded mutation · candidate
- Cannot
- Change plan · self-accept · integrate
Waiting for assignment
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03 / Prove
Validator
Tests the read-only candidate against frozen criteria and publishes a typed, independent verdict.
- Owns
- Evidence · verdict · findings
- Cannot
- Modify · repair · ship
Waiting for candidate
Protocol ready
Freeze the contract before work begins.
The objective, non-goals, acceptance criteria, authority, budget, and retry ceiling become immutable inputs to the build cycle.
- Artifact
- Awaiting compiled mission plan
- Boundary
- No role can silently widen the contract.
Artifact trail
One repair loop, no self-grading
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01OrchestratorMission plan compiled
-
02ExecutorCandidate 01 frozen
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03ValidatorCriterion refuted
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04OrchestratorBounded rework compiled
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05ExecutorCandidate 02 frozen
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06ValidatorAll criteria confirmed
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07Human gateReady for owner decision
Run the inquiry
Watch one sentence become an auditable investigation.
The CLI does not jump from prompt to answer. It exposes what the request assumes, traces what failure would mean, routes distinct ways of thinking, and compiles a minimal harness for every stage before a candidate can reach human review.
Interactive product simulation The inquiry and evidence are predetermined so you can inspect KAYA’s control model—not a fabricated live claim.
When started, the demonstration types the selected KAYA inquiry command and appends its ordered runtime events below.
Only a person can accept residual risk and authorize merge, push, or deploy.
Compile the environment
More capability outside the window. Less noise inside it.
The registry can be enormous. The active environment cannot. KAYA resolves the smallest qualified combination of model, tools, skills, context, policy, isolation, and evidence for each scientific-method stage.
CLI and SDK surface
One control protocol across terminal, TUI, Rust, TypeScript, Python, RPC, daemon, MCP, and editor clients.
Bounded agent loop
Streaming turns, cancellation, budgets, compaction, retries, checkpoints, and explicit terminal outcomes.
Model and environment router
Eligibility before ranking, exact revisions, health, privacy, residency, fallback legality, cost, latency, and abstention.
Tool and effect plane
Typed schemas, capabilities, approvals, safe built-ins, sandbox tiers, receipts, uncertain-effect recovery, and revocation.
Operation coordination
Plan compilation, scoped workers, leases, fencing, heartbeats, independent validation, integration, and cancellation.
Ledger, claims, and sessions
Append-only events, artifacts, migrations, replay, bitemporal memory, contradiction, provenance, and stale-dependency closure.
Enterprise control plane
Identity, tenancy, secrets, information flow, audit, policy, approvals, retention, isolation, and incident response.
Operations and release
Doctor, observability, packaging, compatibility, updates, rollback, backups, recovery, support, and supply-chain evidence.
Discoverable, qualified, versioned, and normally outside model context.
Artifact handles replace history; retrieval replaces injection; overflow triggers decomposition.
Bounded learning
Failure becomes an experiment, not a memory fragment.
KAYA joins the decision, task, environment, evidence, and failure that produced an outcome. A proposed repair must survive shadowing, a bounded trial, independent evaluation, monitoring, and automatic rollback before it can influence later work.
- 01Detect recurrence
Cluster failures without treating similarity as causality.
- 02Propose repair
Down-rank a route, inject a guard, or add a targeted check.
- 03Shadow
Compute behavior without changing the live decision.
- 04Experiment
Compare exact treatment and control under a sealed plan.
- 05Graduate or revert
Measured benefit earns bounded use; regression rolls back.
Memory can inform a decision. It can never become truth, permission, or policy by repetition.
Vector Pulse Dynamics
Building control systems for machine intelligence.
Vector Pulse Dynamics designs infrastructure that makes autonomous systems more inspectable, bounded, and accountable. KAYA is the first product in that platform.
Move AI from plausible activity to defensible outcomes.
Give operators a chain of custody from question to evidence to authorized action.
Agent horizons are expanding faster than confidence.
Parallel workers and larger tool registries increase the need for context economy, independent validation, and authority boundaries.
The harness must choose the process before the model.
Reliable behavior comes from separating method, environment, evidence, and authority rather than adding more prompt instructions.
Open local runtime. Managed operations. Qualified intelligence.
Local evidence stays locally authoritative; commercial value comes from operations and consent-governed cross-workload learning.
Capital purpose
Turn an engineered system design into measured runtime proof.
- 01Foundation and enterprise vertical slice
- 02Qualified providers, tools, isolation, and validation
- 03Design-partner evidence and measured product pull
- 04Controlled repair loop and managed operations