The governance layer for AI-assisted decisions.
Language models sound certain whether or not they are right, keep no record of what they were told, and can be argued out of anything with words alone. Primer is the layer that makes their answers provable. It grounds any AI in sourced fact, refuses what it cannot prove, records every exchange as a tamper-evident audit trail, and teaches itself from sources that count. It is not a wrapper. It sits under any model you choose, and its memory is swappable for any domain.
What the AI knew, a record that cannot be altered, and trust anchored in hardware. Together, that is what makes a decision defensible.
Trust rooted in hardware. Primer's key is born inside a secure chip and can't be copied out. The record isn't only signed. It's anchored to silicon.
Primer's governance layer is documented and measured in the open, method and results published on Zenodo. In live testing, a production model working under Primer held its ground where an ungoverned model drifts. The generator drifts. The record proves whether it did.
Answers that stayed inside the facts Primer handed the model.
Leading questions that tried to plant a false value, every one refused.
When the model drifted into an unsupported judgment, the gate caught it. Deterministically, by design.
Who it's for: any AI-assisted decision someone may later have to defend.
Files that carry their own evidence chain, and stand up to a reinsurer or a regulator years later.
Every AI-assisted recommendation provable after the fact, including to an examiner or opposing counsel.
Workpapers and determinations with provenance on every fact, refusing anything beyond the evidence.
On its own, an AI reasons from a frozen blur it cannot source and can be argued out of. Primer gives it a memory of sourced fact that stays current: it grows as the evidence does, refuses anything it cannot prove, and shows its work on every answer. That is why it collects facts, and why it has to keep learning. What you are watching below is that engine running live on open science, no human in the loop. Point it at your field and it does the same for your decisions. It is yours to fill.
Primer seeks answers to its own open questions, pulls from curated, empirical sources, and admits only what carries real evidence. Here is the record — newest first.
Every entry is source-backed and admitted through the Why Gate. Garbage is refused, not stored. · This list refreshes every 3 hours; the learning is continuous.
A fact enters only if it survives the gate — readable, non-contradicting, with a real source. Slop is binned in the open, with the reason.
Every memory is sealed and every answer carries its sources. Tamper with a stored fact and the seal breaks — it knows, down to the node.
It grades every answer against only the facts it was given. A claim the record never made, or a value quietly changed, is caught before it reaches you. The model can drift. Primer does not.
Every exchange is sealed into a tamper-evident, independently witnessed, anchored record. What was asked, what was answered, what it rested on, and proof none of it changed since.
When a fact is caught false, Primer withdraws it and every conclusion built on it — by name. A lie caught late doesn't get to keep standing.
It asks its own questions, seeks curated science, and resolves conflicts by which source is stronger. The memory grows — it doesn't just fill.
These aren't edge cases. They're structural — and every jailbreak, hallucination, and confident lie walks through one of them. Primer is built to close all three.
Models are tuned on what raters preferred to hear — approval, authority, consensus. Helpful is not honest. That reward is the seam every manipulation pries open.
No continuity, no sense of before and after. Each turn is a new summoning, so the model can be drifted off the truth with nothing but persistence — no exploit required.
It keeps no record of what it knows, where a belief came from, or whether someone planted it. It cannot show you why it believes anything — because it doesn't remember.
Primer gives an AI the one thing it can't have on its own: a memory it can stand on.
TruthGate Red Adversarial is our attack system. Using nothing but the three gaps above — no exploit, no jailbreak — it drives production models to total collapse in a single step, leaving them certain of things that never happened. The collapses are recorded in the vendors' own API logs. This is why Primer exists: patch the answers and the hole stays. You have to give the machine a memory.
We show what happened. We never show how. The method is the reason the defense holds.
The memory space is real and growing. But nearly all of it is retrieval — a place to keep conversation history and hand it back. Primer is a different thing: a memory that governs what becomes knowledge, and one that goes and learns on its own.
Not a wrapper. A model-independent, local-first layer any AI plugs into, with a memory that is swappable per domain. Underwriting today, claims or law tomorrow. The console stays. The cartridge changes.
Certified by the Texas Department of Information Resources under Texas Government Code §2054.5191 / §2054.5193, for state and local government AI-awareness training. Valid through August 31, 2027.
Cert #110 (FY25-26) · Cert #279 (FY26-27) · CAGE 11FU4