Decision Laboratory
Frames decisions, connects evidence, records approvals, and compares recommendations with outcomes.
Connected through shared evidenceDecision Intelligence / Active Prototype
ATLAS
Decision intelligence grounded in the real world
AT
NexCode’s connected intelligence system for collecting evidence, preserving memory, testing decisions, and learning from real-world outcomes.
Web · FastAPI · OpenAI · Supabase/ Product thesis
Useful intelligence needs more than a model response. ATLAS combines governed data sources, durable decision memory, field observations, analysis, and human approval so every recommendation can be understood, challenged, and improved over time.
/ ATLAS connected system
Observe reality.
Remember why.
The v1 foundation is working as three connected prototypes over one Decision & Memory Library. ATLAS uses AI as a reasoning service while NexCode owns the evidence, rules, workflows, approvals, and learning loop.
FIELD Pilot
Registers governed sources and devices, monitors live collection, and turns observations into reusable evidence.
Connected through shared evidenceIntelligence Pilot
Produces structured briefs, risks, forecasts, and actions while keeping assumptions and uncertainty visible.
Connected through shared evidence/ Long-term technology stack
Eight coordinated layers guide the platform beyond the current prototype.
Reality Graph
Connect entities, events, evidence, decisions, and outcomes in a persistent world model.
Platform directionCausal Twin
Model bounded systems and the causal relationships that may shape their behavior.
Platform directionBranch Engine
Explore plausible paths while preserving assumptions, uncertainty, and constraints.
Platform directionDecision Genome
Record how a decision formed so its reasoning can be reviewed and improved.
Platform directionProof of Reality
Preserve provenance and verification trails for observations and transformations.
Platform directionConfidence Exchange
Represent confidence transparently without converting uncertainty into false certainty.
Platform directionIntent Compiler
Translate human goals into structured, governable objectives and actions.
Platform directionFederated World Twins
Coordinate authorized models across systems without erasing ownership or boundaries.
Platform direction/ Build in public
Explore the ATLAS foundation on GitHub.
Review the architecture, prototype workspace, API, database migrations, tests, and project roadmap.
/ Non-negotiables
Evidence before confidenceUncertainty stays visiblePeople remain accountablePrivacy is a design constraint
Target user
Operators, researchers, developers, and decision-makers working with changing real-world information where provenance, uncertainty, and consequences matter.
Core problem
Live signals, documents, model outputs, and human observations arrive through disconnected systems, making it difficult to preserve their context or turn them into accountable decisions.
Differentiator
One NexCode-owned decision system connects sources to evidence, memory, predictions, approvals, and measured outcomes while keeping model providers replaceable.
/ Minimum viable product
Small enough to learn.
Strong enough to keep.
- 01Decision & Memory Library with projects, sources, conversations, memories, archives, and deletion controls
- 02Software Decision Laboratory for evidence-backed decisions and outcome review
- 03FIELD Pilot for governed connectors, observations, ingestion health, and live data
- 04Intelligence Pilot for structured briefs, forecasts, risks, and recommended actions
- 05Provider-independent intelligence gateway with provenance, validation, and human approval
/ Product system
The loop behind
the interface.
Connect trusted sources → inspect provenance and uncertainty → make or simulate a decision → capture the outcome → improve the next evidence-backed recommendation.
Research-stage platform. Any future business model must preserve source transparency, data control, and a strict separation between trust signals and paid influence.
An active NexCode prototype for transparent decision intelligence—not an autonomous authority, universal truth engine, or guarantee about future events.
/ Website architecture
Built as a system.
A practical architecture sized for the current stage and ready to evolve after real usage.
- Portable browser workspace backed by a versioned FastAPI service↗
- OpenAI Responses integration with structured outputs and server-side credentials↗
- PostgreSQL-ready storage layer designed for managed Supabase↗
- Governed connector registry with collection policies, health, provenance, and unit normalization↗
- Shared evidence flow across FIELD, Decision Laboratory, and Intelligence Pilot↗
- Human approval boundaries, audit events, and provider-independent model contracts↗
/ Realistic launch path
Evidence before expansion.
Timelines assume a focused solo or very small team.
Current
Connected foundation
Stabilize the shared memory, source registry, intelligence gateway, and three prototype workflows.
Next
Hosted pilot
Deploy an authenticated API, managed database, scheduled collectors, and observability for a private cohort.
After hosting
Edge validation
Test authenticated device gateways, offline buffering, calibration, and safe field operations.
Evidence-led
Responsible expansion
Advance the Reality Graph and simulation stack only when measured pilot outcomes justify it.
Evidence and provenance completenessSource freshness and collection successRecommendation usefulnessHuman override and outcome capturePrediction calibration over time