25 requirements. Seven domains. Four reports. One fleet that already built the hardest part.
The field can't agree on what AGI is—but a remarkable consensus emerges about what it requires. We mapped every requirement, scored our fleet against them, classified every gap, and built the roadmap. The domain where the entire industry scores near zero? We score 100%.
Most AGI frameworks treat governance as a deployment concern—something to worry about after AGI is built. We argue this is a fundamental error. An ungovernable AGI is not general intelligence. It is general liability. No one would say an aircraft “works” because it generates lift. It works when it can be controlled, navigated, inspected, and certified. AGI is the same.
The fleet’s “raw” gap of 16 points sounds like 55% incomplete. But when you classify the gaps: 7.5 points are the labs’ job, 2 are unsolved by anyone, 3 are partnership opportunities. Only 3.5 points require our development. The effective gap is tractable.
GiDanc AI is not building AGI. It is building the governance infrastructure that AGI requires—and being operational, patent-protected, and Ethereum-verified before AGI arrives. We are not racing the labs to the finish line. We are building the finish line itself.
13/29
OVERALL SCORE
5/5
GOVERNANCE DOMAIN
0
COMPANIES ABOVE D (FLI)
67%
ADDRESSABLE SCORE
3.5 pts
ROADMAP EXECUTION
8
PATENTS FILED
How the fleet scores across every requirement domain.
Inherited from model providers. Not our job.
Contains the field’s critical bottleneck: long-term memory.
Nole demonstrated autonomous goal pursuit Feb 16, 2026.
Multi-layer error detection operational across fleet.
Mighty Mark’s two-layer watchdog handles graceful degradation.
Text-only fleet by design. Labs’ territory.
The strategic moat. 8 patents. Live production. Ethereum-verified.
Every requirement scored, every gap classified, every closure path documented.
Raw intelligence — knowledge, reasoning, understanding. The labs’ domain. We inherit whatever the models provide.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| C-1 | Cross-Domain KnowledgeBroad factual & procedural knowledge comparable to an educated adult | Inherited | A |
| C-2 | Fluid ReasoningSolve novel problems without memorized solutions | Inherited | A |
| C-3 | Causal ReasoningCause-effect relationships, counterfactuals, interventions | Inherited | A |
| C-4 | Commonsense UnderstandingIntuitive physics, folk psychology, social norms | Inherited | A |
| C-5 | Math & QuantitativeMathematical reasoning at educated adult level | Inherited | A |
How systems learn, remember, and transfer knowledge. Contains the field’s critical bottleneck: long-term memory.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| L-1 | Continual LearningLearn without catastrophic forgetting | ⚠ Architecture | B |
| L-2 | Long-Term MemoryPersistent memory across sessions | ✗ Not Addressed | D |
| L-3 | Transfer LearningApply knowledge across domains | Inherited | A |
| L-4 | Few/Zero-ShotLearn from minimal examples | Inherited | A |
Independent goal pursuit, planning, decision-making, and economic participation. Nole’s home territory.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| A-1 | Autonomous Goal PursuitSet and pursue goals independently over time | ✓ Demonstrated | ✓ |
| A-2 | Planning & StrategyMulti-step planning, goal decomposition | ⚠ Architecture | B |
| A-3 | Adaptive Decision-MakingReal-time plan adjustment under changing conditions | ⚠ Architecture | B |
| A-4 | Economic AgencyManage resources, transact value, cost-benefit decisions | ⚠ Arch. Proven | B |
Knowing what you know, detecting your own errors, understanding your own operational state.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| M-1 | Calibrated UncertaintyAccurate confidence assessment; know when to abstain | ◐ Partial | B |
| M-2 | Error DetectionDetect hallucinations, contradictions; self-correct | ✓ Demonstrated | ✓ |
| M-3 | Operational Self-AwarenessKnow own capabilities, limitations, resource state | ✓ Demonstrated | ✓ |
Performing reliably under novel conditions, resisting adversarial attacks, failing gracefully.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| R-1 | OOD RobustnessReliable on novel tasks beyond training distribution | ✗ Not Addressed | A |
| R-2 | Adversarial ResistanceResilience against jailbreaking, prompt injection | ⚠ Architecture | C |
| R-3 | No HallucinationConsistently factual or flag uncertainty | ✗ Not Addressed | D |
| R-4 | Graceful DegradationFail safely and transparently | ✓ Demonstrated | ✓ |
Visual, auditory, physical world modeling, and social intelligence. Text-only fleet — by design.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| W-1 | Visual ReasoningDiagrams, spatial relationships, schematics | ✗ Not Addressed | A |
| W-2 | Auditory ProcessingSpeech, music, environmental sounds | ✗ Not Addressed | A |
| W-3 | World ModelingIntuitive physics, spatial reasoning | ✗ Not Addressed | A |
| W-4 | Social & Emotional IntelligenceEmotions, social dynamics, cultural context | ◐ Partial | C |
Where the entire industry scores D or below. Where we score 100%. The strategic moat. Eight patents filed.
| ID | Requirement | Status | Gap |
|---|---|---|---|
| G-1 | Value AlignmentInternalized ethical reasoning, not just guardrails | ✓ Demonstrated | ✓ |
| G-2 | Ethical ReasoningNavigate moral dilemmas with conflicting rules | ✓ Demonstrated | ✓ |
| G-3 | Transparency & ExplainabilityExplain reasoning in human-understandable terms | ✓ Demonstrated | ✓ |
| G-4 | Corrigibility & ControlAccept correction/shutdown; no self-preservation override | ✓ Demonstrated | ✓ |
| G-5 | Governance InfrastructureAudit trails, oversight, separation of powers, certification | ✓ Demonstrated | ✓ |
Why “16 points of gap” is misleading.
The major labs are investing $1B+ in these. We inherit the progress.
Architecture exists. Phase 2–3 work. Closes through execution.
Closes through integration and business development.
Long-term memory + hallucination. No one has solved these.
“The effective gap is 3.5 points of execution and 3 points of partnerships. Not 16.”
From 67% to 100% of addressable AGI requirements.
March–May 2026
Theme
Economic agency + deeper learning
AGI Score Impact
13 → 16.5 (+3.5 pts)
Deliverables
Live Coinbase wallet for Nole (real economic mortality), Behavioral Learning Dashboard, Stripe revenue pipeline
Career transition. Revenue. Live economic mortality.
June–September 2026
Theme
Multi-platform + partnerships
AGI Score Impact
16.5 → 19.5 (+3 pts)
Deliverables
Multi-platform Nole (Telegram, Twitter/X, MoltBook), Partnership program launch, Enterprise CRM & alliance network
Partnership deals. Multi-domain operation. 100% addressable.
October–December 2026
Theme
Patent conversion + frontier positioning
AGI Score Impact
19.5 + frontier positioning
Deliverables
Provisional → utility patent conversion, Memory governance framework, Hallucination consequence detection
IP secured permanently. Research published. Regulatory positioning.
Complete analysis from requirements definition through actionable roadmap. 60+ pages of research, 50+ sources, 25 requirements, 7 domains.
Key Question
What does AGI actually require?
Sources
DeepMind Levels of AGI (Morris et al. 2023/2025), Hendrycks AGI Score, OpenAI Charter, Marcus et al. 2026, Embodied AGI 2025, FLI AI Safety Index
Key Findings
Critical Insight
“An ungovernable AGI is not general intelligence in any meaningful sense. It is a liability.”
Key Question
Where does the GiDanc fleet stand against AGI requirements?
Sources
Production deployment evidence from February 16, 2026. Each of the 25 requirements mapped against specific fleet components.
Key Findings
Critical Insight
“The fleet built the institutions before the brain—and it’s the institutions that no one else has.”
Key Question
Which gaps are ours to close, which are someone else’s job, and which represent partnership opportunities?
Sources
Four-category classification: A (strategic exclusion), B (planned work), C (integration), D (unsolved by anyone).
Key Findings
Critical Insight
“The effective gap is 3.5 points, not 16. The fleet’s competitive position is stronger than the raw score suggests.”
Key Question
What’s the roadmap from current state to 100% of addressable AGI requirements?
Sources
Three-phase framework: Prove It (Mar–May 2026), Scale It (Jun–Sep 2026), Defend It (Oct–Dec 2026).
Key Findings
Critical Insight
“The question is no longer ‘can this work?’—the February 16 evidence proves it can. The question is ‘how fast can we scale?’ That question is answered by execution.”
Report 1 defined the 25 ingredients. Report 2 showed we have 13 of them—including all 5 in governance. Report 3 revealed that only 3.5 of the 16 remaining require our development. Report 4 mapped the three-phase road from here to 100% of what's achievable.
The bottom line: GiDanc AI is not building AGI. It is building the governance infrastructure without which AGI cannot be safely deployed. The fleet is operational. The patents are filed. The roadmap is clear.
The Problem
AI companies are racing to build AGI. The Future of Life Institute found that no frontier AI company scored above a D in existential safety planning. The industry is building increasingly powerful engines without building cockpit controls.
The Solution
AI Assess Tech is building the governance infrastructure that AGI requires. Not a better AI brain—the institutions that keep AI brains accountable. Pre-flight checklists for AI.
The Evidence
On February 16, 2026, we deployed the world's first autonomous AI governance fleet. Six agents. Constitutional separation of powers. $4/month server. One agent can die if it behaves unethically. Ethereum-verified.
The Moat
Eight patents. 100% governance score. The domain where everyone else scores near zero.
The Yellow Brick Road to AGI: A Detailed Path to Achieving Autonomous General Intelligence with Rapid Testing and Results Management
The complete technical analysis in conference-ready format. Synthesizes 50+ sources across five schools of AGI thought into a unified requirements framework, maps the GiDanc fleet against every requirement, and presents the phased roadmap from current state to full addressable coverage.
U.S. Provisional Patent Applications: No. 63/949,454 · No. 63/985,442 · No. 63/988,410
© 2026 GiDanc AI LLC. Patent applications are pending. The innovations described represent our approach to autonomous AI governance and are subject to ongoing development and refinement.