Point your agent at LASO
One MCP endpoint. Tools, sources and access policies register once.
Context intelligence layer
Context before intelligence.
LASO builds a verified picture of the environment before a model reasons or an agent acts — so execution isn't a guess.
MCP-compatible · works with any model
Intent
Discovery
Evidence
Trust
Reasoning
Execution
One pipeline · every request · uncertainty reduced before intelligence
How it works
Three moves before an answer.
Your model stays where it is. LASO sits underneath it and resolves the environment first.
Context assembled and scored
LASO collects evidence with timestamps, then scores what holds up.
Execute, or return the gap
Above your floor it executes with a trace. Below it, it abstains.
Pipeline
Models got smarter. Their context didn't.
A model can answer fluently and still not know whether its information is current. That's not a model problem.
One request, resolved in stages.
Six stages, same order, every request. Nothing enters reasoning without an origin and an age.
Requestinbound
“Renew the vendor contract if the terms still beat market rate.”
LASO pipelineresolved
Trust layer
Confidence you can gate on.
LASO returns a score, its components, and the evidence behind it.
Source reliability
Scored from historical accuracy, origin class and corroboration. One source stays one source.
Recency decay
Every fact carries an age. Value decays on a curve you set, so stale data can't win quietly.
Abstention threshold
Set the floor you need. Below it, LASO reports the gap and what would close it.
Docs
Connect in one line.
One Model Context Protocol server. Point any client at it — Claude, Cursor, or your own runtime.
https://api.laso.dev/mcp
Responsecontext object
The Missing Layer Most AI Systems Never Built
Models got larger. Reasoning improved. One problem stayed where it was.
Most AI systems still decide without enough context.
A model can be fluent and still not know whether its information is current, whether the source holds up, or what changed a minute ago. So it reasons from assumptions, and acts on them.
LASO resolves the environment before reasoning starts. Every request runs the same pipeline:
Intent → Context Discovery → Evidence Collection → Trust Scoring → Reasoning → Execution
Discover what is reachable, collect evidence with an origin and an age, score how much of it holds up — then reason, and only then act.
Reduce uncertainty before intelligence.
As agents take more action on our behalf, context becomes the scarce resource. LASO is the layer that supplies it.
LASO — The Context Intelligence Layer for Autonomous AI.
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