Prepare
Build from evidence
Gnojo researches governed sources, verifies evidence, prepares claims, and assembles a workflow proposal. It advances routine work only while the next step is safe and eligible.
Gnojo v1 · project exhibit
Gnojo
Governed AI-assisted knowledge operations
Gnojo turns coverage gaps into evidence-backed support workflows while keeping source approval, consequential decisions, and publication under explicit human control.
V1 product story
Routine preparation can move forward under bounded automation. Human judgment governs the consequential gates, and insufficient evidence produces a clear stop rather than an invented answer.
Operator experience / 01
Prepare → Review → Complete
A complex research and authoring pipeline is presented as three meaningful operator steps.
Review
Focus human judgment
A reviewer inspects the evidence-backed proposal and resolves only the source, evidence, claim, or safety decisions that require judgment.
Complete
Add validated work
Validated work is explicitly added to the library and versioned. Draft approval and publication remain separate, human-authorized decisions.
Application walkthrough / 02
From opportunity to governed outcome
Real views from Gnojo v1 show both a workflow that reached publication and a workflow that stopped when its evidence could not support completion.
Governance / 03
Automation with a stopping rule
AI assists with preparation and routine progression. It does not approve its own consequential decisions or publish independently.
Bounded assistance
Research triage, evidence classification, claim preparation, and proposal assembly operate within explicit scopes.
Human authority
Source approval, genuine exceptions, draft creation, and publication remain governed human decisions.
Traceable support
Sources, evidence, claims, and generated artifacts retain provenance and stable identities.
Current-state checks
Fingerprints and stale-state validation prevent an old review from authorizing changed work.
Deterministic validation
Structure, coverage, safety, and publication readiness are checked before governed boundaries can be crossed.
Governed pipeline / 04
What sits behind the three steps
Select a stage to see how supervised growth becomes reviewed, versioned library content.
Coverage Gap
Deterministic coverage analysis identifies a supported gap and ranks it for supervised work.
Engineering depth / 05
Integrity beyond generation
The operator experience is backed by deterministic inspection, governed repair, and structural safety controls that continue after content enters the library.
Persistent quality operations
Findings become durable, evidence-backed tasks instead of disappearing into one-off audit output.
Deterministic checks
Rules inspect workflow reasoning, relationships, provenance, content state, and publication readiness.
Reviewable repair paths
Detected problems can be explained, previewed, validated, and held behind the correct approval boundary.
Exact mutation authority
Locks, fingerprints, CAS checks, provenance, and narrow allowlists constrain what governed operations may change.
Supporting system views
Curator and governed repair
Earlier product surfaces remain part of the engineering story, but sit behind the primary Knowledge Builder experience.
Project evolution / 06
From answers to governed growth
Gnojo began as guided troubleshooting. Each stage added a missing control: structured knowledge, quality inspection, governed repair, supervised growth, and finally a unified operator path.
Guided Troubleshooting
The project began by guiding users through practical IT troubleshooting workflows.
Continue exploring
Explore the project
Use the live Gnojo deployment to experience the governed workflow system, or review the repository and design notes behind it.