04 · AI truth

HexaMind

HexaMind governs prompts, agents, workflows, and grounded AI orchestration with explicit memory and safety boundaries.

Dependency graph

How this module connects.

The truth it consumes, the evidence it emits, and where that evidence flows next — hover or focus any node to trace an edge.

CONSUMESAIFEEDSHexaMindAIQenceDOCSNormGOVERNANCESightTELEMETRY
Owns
Grounded workflows, prompts, agents, evals
Emits signal
agent.run.completed
Governed collections
agentsagentVersionspromptspromptVersionsworkflowRuns
  1. 01Version prompts
  2. 02Run grounded workflows
  3. 03Capture evaluations
  4. 04Review safety signals
System view · Value chain

How AI workflows compound into outcomes.

HexaMind grounds automation in the same behaviour-to-outcome chain the whole platform optimises.

Reduce friction
Improve clarity
Support mental models
Minimize cognitive load
Micro-interaction readability
Reduced error surface
Task completion time
Error rate
Trust
Satisfaction
Perceived effort
Long-term retention
Churn rate
Conversion quality
Support tickets
Reputation lift
Cross-surface consistency
BehaviourValueDelivered
Hover a node to trace how a UX behaviour becomes a measurable value and a delivered business outcome.
Abstract

AI orchestration with grounding, evals, and safety as first-class controls.

HexaMind is the system of record for automation. It governs agents, prompts, workflows, memory, and evaluations as versioned entities grounded in HexaQence — so AI behavior is reproducible, measurable, and bounded by explicit safety controls rather than opaque and ungoverned.

Module
04 · AI truth
Domain
hexamind.sixfoldux.com
Owns
5+ governed collections
Signals
3 evidence events
The problem
AI initiatives sprawl into untraceable prompts.
Prompts get pasted into notebooks, agents run without evals, and no one can reproduce why a workflow behaved a certain way. HexaMind treats orchestration as engineered infrastructure: versioned prompts, grounded context, recorded runs, and safety events.
Mechanism

How it works.

The operating principle, step by step — not a feature list.

  1. 01
    Version prompts and agents
    Prompts, agents, and their versions are governed entities with promotion history.
  2. 02
    Ground in knowledge
    Workflows pull cited context from HexaQence, so outputs are traceable to sources.
  3. 03
    Record every run
    Workflow runs, memories, and evals are captured for reproducibility and regression tracking.
  4. 04
    Bound with safety
    Safety events are first-class — policy violations surface as evidence, not silent failures.
Governed data model

What it owns — and the evidence it emits.

The collections this module governs as source of truth, and the signals it streams downstream into telemetry and governance.

agentsGoverned autonomous units with versioned behavior.
promptVersionsImmutable prompt history with promotion provenance.
workflowRunsReproducible execution records with inputs and grounding.
evalRunsQuantified quality checks that gate promotion.
safetyEventsRecorded policy and safety signals for governance review.
Instrumentation · the evidence it emits
agent.run.completedA governed workflow executed and produced traceable output.
prompt.promotedA prompt version passed evals and advanced — quality provenance.
safety.event.recordedA safety boundary was exercised, feeding governance evidence.
Connections & impact

How it connects — and what measurably changes.

The module consumes upstream truth, emits downstream evidence, moves real numbers, and holds a set of invariants while it does.

Interfaces
HexaQence
Consumes cited knowledge as grounding for every workflow.
HexaSight
Emits run and eval telemetry for measurement.
HexaNorm
Safety events and evals feed policy and review gates.
Outcomes · what measurably changes
Reproducibility
Rises — every AI output traces to a versioned prompt and grounded context.
Regression detection
Becomes automatic through evals gating promotion.
Safety visibility
Is continuous — boundary events are recorded, not lost.
Guarantees · the invariants it holds
  • No prompt reaches production without a version and an eval.
  • Every workflow run is reproducible from recorded inputs.
  • Safety boundaries emit evidence, never silence.
Resources

Keep exploring.

Framework and resources to go deeper before you commit.

Whitepaper

Framework whitepaper

A public-facing explanation of the Sixfold operating model and why design, docs, AI, insight, and governance should work as one system.

Explore resource
Playbooks

Design-to-governance playbooks

Operational patterns that connect design libraries, implementation releases, telemetry, and review gates.

Explore resource
Glossary

Glossary and terminology

A public terminology entry point that prepares for the deeper HexaQence knowledge surface.

Explore resource

Start with HexaMind.

Start here when AI is becoming load-bearing and 'it worked in the demo' is no longer good enough.