DRIFT
A shared decision substrate. Humans hold authority. AI consults on demand. Automation acts where resistance is bounded.
Most AI tells you what to decide. DRIFT exposes the decision landscape, empowering the decision maker.
DRIFT does not automate decisions. It makes human decisions more defensible.
Most XAI explains the past. DRIFT illuminates the path forward.
DRIFT is domain agnostic.
Bring your data, your tools, your stakeholders, your constraints. DRIFT builds the resistance landscape underneath. The decision stays with you.
Your stack doesn't change.
DRIFT is infrastructure. Your inputs, your agents, your UI plug in. The engine is the constant.
your users already produce
or skip this layer
briefings · widgets
- Deterministic Identical inputs always produce identical outputs.
- Stateless No data from one request influences another.
- Complete Every alternative scored on every layer.
- Validated Inputs schema-checked; invalid requests rejected.
DRIFT is a sealed Docker engine. Integrate against ICD-DRIFT-001, the stable public interface contract. Your systems don't change. Our engine doesn't open.
Same engine, different domains.
Domain agnostic by design. Validation proven, demonstrated, and targeted.
DRIFT matched a NASA review board's findings at over 80% concordance and surfaced additional issues the team had not yet flagged.
Multi-agent swarm prototype with mesh coordination caught reasoning failures a single agent would have missed.
Two-tier architecture with Local Nodes holding decisional authority and a Central Hub federating qualified observations.
Concentric-ring portfolio view with Decision Closure Curve tracking option viability over time.
Shared Decision Substrate
Where humans and AI work safety-critical decisions together, neither replacing the other.
Air traffic control. The Secretary of Transportation has committed $12.5 billion to modernization with AI as a stated component, and his framing is exact: AI tools, but AI does not make decisions. That is the framing DRIFT was built for.
Resistance, freedom, and hardening rendered as structured representation. Weather, fuel, coordination, rules, equipment — the pressures controllers carry in their heads today, externalized into a working surface that both humans and AI agents read.
Holds full decision authority. Signs the clearance. Carries the consequence. Brings judgment, experience, and accountability that does not transfer to a machine.
Reads the same landscape. Provides a consistent analytical floor that does not change with who is at the console, how many hours into the shift, how busy the day has been. Surfaces blind spots. Answers questions on demand. Never recommends actions.
What was invisible becomes visible. Stakeholder divergences that today stay hidden in voice coordination surface automatically. System-level patterns that no individual facility can see become detectable across the network. The cognitive context of every operational moment is captured as ground truth, not reconstructed after the fact.
Not a prediction engine. Not a recommendation system. Not a surveillance tool. DRIFT does not generate controller performance metrics — this is a public commitment, not an aspiration. The pitch to the workforce is offensive, not defensive: AI as a colleague at every position, not a replacement for any of them.
Terrain Network
Observations up · Context down · Decisions stay local.
Each facility runs its own Node with full decisional independence. Aircraft Resistance Profiles travel with each aircraft across handoffs. The Hub aggregates qualified reports across the network and surfaces patterns no individual Node could see. Observations flow up. Context flows down. Decisions stay local.
The landscape made visible, the decision stays with you.
Matthew D. Magsamen
Tell me about your decision environment. I will follow up to schedule a private demonstration.
Patent Pending · US Provisional 63/988,869 (DRIFT) and 64/013,824 (MSR)
Decision Resistance is a trademark of Matthew Magsamen
All rights reserved · Unclassified