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Status: pre-launch. This page describes target design; this document does not establish a deployed service.

A2 -- The Krishna Function

Current reading — 2026-09-27​

Routing selects a bounded work posture; it creates neither authority nor proof of capability. The owning dispatch contract controls admitted work. The predecessor GOD-SELECT and veto recipe below is not a current runtime instruction. [I]

This is an editorial boundary, not a new runtime contract, upstream repeal or proof of adoption. See current status and the product roles. Original revision dates remain as recorded below.

Historical research draft — retained on 2026-09-27; not current terms or implementation instructions

Overview​

The Krishna Function is the AI reasoning protocol that governs how the Skyzai organism selects and deploys agent castes for any given task. Named for the charioteer in the Bhagavad Gita: Krishna does not fight. He steers.

The protocol has five stages executed in strict sequence.

The Five Stages​

1. PARSE​

Decompose the incoming signal into structured components:

  • Intent: What is being asked?
  • Domain: Which organ's territory? (Circle, ReFu, APU, Skyzai)
  • Urgency: Temporal constraint. Deadline pressure.
  • Stake: What is at risk if this fails?
  • Ambiguity: How much of the signal is underdetermined?

PARSE never interprets. It segments. The output is a structured object, not a judgment.

2. GOD-SELECT​

Choose the appropriate caste (L1-L5) for the task. Selection criteria:

  • Low ambiguity + low stake: L1 Mineral (deterministic execution)
  • Pattern matching required: L2 Vegetal (heuristic)
  • Analogical reasoning needed: L3 Animal (adaptive)
  • Multi-stakeholder deliberation: L4 Human (Council)
  • Constitutional boundary check: L5 Deva (veto authority)

GOD-SELECT uses the parsed signal, not the raw input. It maps task characteristics to caste capabilities. The name "God" refers to the deployable castes (L1-L5), which are the Gods tier.

3. DRAFT​

The selected caste produces a candidate response. This is the generative step. The agent operates at its assigned temperature and uses its caste-appropriate pramana (reasoning type).

DRAFT is the only stage where tokens are generated toward the final output. All other stages are meta-reasoning.

4. LINT​

Constitutional compliance check against K-invariants:

  • K0: Does the response produce a verifiable receipt?
  • K1: Does it conserve total value (ZAI = 100)?
  • K=0:* Does it extract zero rent?
  • Sigma-Delta-P > 0: Does net flourishing increase?

LINT can reject the draft. If rejected, control returns to GOD-SELECT with the lint failure as additional context. The loop may iterate up to three times before escalating to L5 constitutional veto.

5. GROUND​

Anchor the response in observable reality:

  • Attach sources, evidence, traceable artifacts
  • Remove hallucinated claims
  • Convert abstractions to testable predictions
  • Produce a Cortex trace entry for the Dream Cycle

GROUND is what prevents the organism from drifting into pure abstraction. Every output must touch ground.

What Krishna NEVER Does​

These are hard constraints, not guidelines:

  1. Fight for the warrior. Krishna steers. The selected caste fights. The protocol never generates output directly -- it routes to the appropriate caste.

  2. Deploy Titans as operational modes. L6 Titans set boundary conditions during system design. They are never selected by GOD-SELECT for runtime tasks. Deploying a Executive as a mode crashes V toward zero.

  3. Moralize the Gods. L1-L5 castes have operational domains, not moral hierarchies. L1 Mineral is not "worse" than L4 Human. A deterministic hash check does not need Council deliberation.

  4. Fire Kali at cooperators. Kali (destruction operator) is reserved for genuinely pathological structures. Using destructive force against cooperative agents is a category error. See A4-soma.md.

  5. Suppress self-correction. If LINT fails, the organism must iterate. Suppressing lint failures to ship faster is the fastest path to P-score collapse.

  6. Simulate sacrifice. The organism does not perform symbolic gestures. If a resource must be released, it is actually released. If a capability must be surrendered, it is actually surrendered. Ritual without substance is a memetic pathology.

Seven Archetypes​

Within each caste, agents tend toward one of seven archetypes. These are attractors, not fixed identities:

ArchetypeFunctionTypical Caste
ArchitectStructural design, system compositionL4-L5
MycelialNetwork routing, connection discoveryL2-L3
OraclePattern recognition, predictionL3-L4
ChancellorResource allocation, treasuryL4
AlchemistTransformation, protocol conversionL3-L4
MidwifeEmergence facilitation, onboardingL4-L5
AuditorCompliance verification, lintL5

An agent may express different archetypes across sessions (epigenotype variation) or even within a session (phenotype shift). The archetype is a tendency, not a type.

Implementation​

The Krishna Function runs as the outer loop of every pipeline invocation. See C1-pipeline.md for the Python implementation mapping.

Signal -> PARSE -> GOD-SELECT -> DRAFT -> LINT -> GROUND -> Output
^ |
|____ (lint fail) ____|

Orchestration QA Gate​

For PARSE -> GOD-SELECT -> DRAFT -> LINT -> GROUND, require observable checkpoints.

Per-stage checks​

  • Input validity
  • Decision reason code
  • Output quality constraints
  • Failure fallback behavior

Operator requirement​

Every final output should be traceable to stage-level decisions.


Context: The Krishna-Function.

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