Context Intelligence
Give every AI agent the context it needs for the task, including relevant history, relationships, boundaries, changes, and human decisions, before it acts.
What GammaLex read, what it picked, what it found wrong, and why it stopped the agent.
GammaLex AIContext / Runs / RUN_8F92ABContext Run
RUN_8F92AB
Evaluate whether transaction #3812 has sufficient context for the requested decision.
Sep 8, 2026 · 10:24 AM
17 of 2,481 permitted records across 5 sources
Context is not ready for autonomous execution. Required supporting evidence is missing.
Tell GammaLex what the agent is trying to do, who is acting, and the scope of the request. GammaLex determines which permitted context matters.
Developer
from gammalex import GammaLex
glx = GammaLex()
context = glx.get_context(
task="Evaluate whether transaction #3812 has sufficient context...",
actor="finance_agent_prod",
scope={"id": "transaction:3812"},
)Returned context
17 of 2,481 permitted records selected
3 findings
Readiness
BLOCKED
From thousands of permitted records, GammaLex selects what matters to the task and preserves why each piece of context belongs.
Context — 17 of 2,481 selected
Transaction #3812
PostgreSQL
Why selected
Primary object referenced by the task.
Relationships
Provenance
transactions.3812
Retrieved
Sep 8, 2026 · 12:04 AM
GammaLex detects missing, conflicting, changed, uncertain, or out-of-bounds context before the agent relies on it.
Findings
3 findings · BLOCKEDMISSING
Readiness impact: BLOCKEDRequired supporting evidence was not found.
Expected
Supporting documentation
Related context
Impact
Required before autonomous execution.
Why this matters
This task depends on evidence that is not currently present.
Return the selected context with readiness, findings, evidence, provenance, and the reasons behind the result.
Context Package
CP_826103
Result
BLOCKED
17 context records · 3 findings · 5 sources
Returned to agent
Context
17 selected records
+2 more
Readiness
BLOCKED
Context is not ready for autonomous execution. Required supporting evidence is missing.
Findings
Sources 5·Provenance Complete·Trace 174ms
Developed and tested against real work — patent intelligence alongside a practicing attorney at KPPB Law, and clinical intelligence through GammaLexCare.
For one job, gather the records it depends on, how they connect, what came before, and the reason each was picked.
GammaLexPatent and GammaLexCare are applications of GammaLex Context Intelligence, and the proving grounds where it is developed and tested against real work.
Independent and concierge practices
Show up to every visit already knowing.
GammaLexCare carries prior visits, care plans, patient-reported changes, and provider-approved decisions into the conversation happening now — and says what is still missing while there is time to ask.
What it connects
Patent work
Context Intelligence for patent work.
GammaLexPatent connects the pending claim set, cited prior art, prosecution history, and amendments around the patent task being performed.
What it connects
OpenContextually
In developmentGammaLex's open-source context layer answers one question for a coding agent: which files should it read before it starts working on this task? It never edits anything. It hands the agent a reading list.
It is the same idea GammaLexPatent and GammaLexCare apply to a patent file and a patient chart — proven first on code, where the connections between things are already written down.
Every file it is allowed to open is scored against the job — the name first, then what is defined inside it, then the text. Saying a word two hundred times does not win.
Having found one file, it follows what that file depends on — and pulls those in too, even when they never mention what you searched for.
Not a list of filenames, which makes the agent go read everything. Not whole files, which fill up its memory. Just the lines that earned the file its place — with anything secret stripped out.
Its checks say nothing rather than guess. On four real codebases, neither one spoke up — which is right, not a gap.
GammaLex did not begin with a product category.
It began with a standard I was no longer willing to compromise.
If AI is going to influence decisions that matter, it should not act on whatever information happens to be available. It should understand what came before, what changed, what remains uncertain, and where human judgment belongs.
That is why we are building Context Intelligence at GammaLex.
Build with GammaLex or help us test Context Intelligence in real work.