Architecture,
accountability
and evidence.
Start with the problem you need to solve: designing governed AI, separating architecture from tools, assigning blockchain responsibility, or turning policy into controls that produce evidence.
Harness Architecture v1.1.0: Least Sufficient Governance
Trajectory control, obligation-first H0–H3 depth, relevance-scoped tools and independently verified deployed effects.
Answer the question ↗Governed AISkills Replace Prompts
Move recurring AI work from improvised instructions to versioned capability contracts with explicit tools, authority, evidence and lifecycle.
Answer the question ↗Governed AIHarness Architecture v1.0.0: What Changed
A weekly architecture release covering decision authority, governed memory, runtime trust, evidence, qualification and continuous assurance.
Answer the question ↗Blockchain governanceDecentralization Does Not Remove Responsibility
A practical responsibility model for decentralized systems: factual control, activity, decision authority, economic benefit and assurance evidence.
Answer the question ↗AI securityAI Guardrails Are More Than an Output Filter
A layered control architecture across governance, identity, retrieval, generation, tools, outputs and operations.
Answer the question ↗AI assuranceAI Can Draft the Assessment. It Cannot Own the Assurance Decision.
A practical architecture for AI-assisted GRC: evidence first, governed analysis, independent challenge and explicit assurance authority.
Answer the question ↗Governed AIToward a Reference Taxonomy for Governed AI Systems
A vendor-neutral map connecting capabilities, architecture, decisions, evidence, risks, controls, responsibilities and lifecycle.
Answer the question ↗Governed AIFrameworks Are Not Architecture
Separate durable capabilities, trust boundaries and governance contracts from replaceable frameworks, protocols, models and vendors.
Answer the question ↗Blockchain governanceThe Blockchain Responsibility Model
Assign capable, accountable owners across protocols, infrastructure, applications, governance, data, and users.
Answer the question ↗GRC architectureFrom Policy Hierarchies to Controls
Design a machine-readable control system that produces usable evidence instead of a document graveyard.
Answer the question ↗Responsible AIThe Agentic GRC Operating Model
Use specialised agents to collect evidence and route decisions while human owners retain authority.
Answer the question ↗Agentic GRCFrom Paper Policies to Agent-Driven Controls
Turn machine-readable requirements into governed gates, evidence contracts and accountable escalation.
Answer the question ↗