Every answer is checked before it ships.
Models generate; the cognitive suite governs. Twenty-five deterministic, side-effect-free algorithms wrap each conversation — managing memory, critiquing answers, grounding claims in evidence, and enforcing safety — all fail-open so they never block a response.
What the layer does.
A selection of the algorithms running in the live loop today.
Working memory buffer
Holds salient context across a conversation so the model stays coherent over long sessions.
Self-critique
Re-reads a draft answer against the question and flags gaps or contradictions before it ships.
Evidence-grounding verifier
Checks that claims are supported by retrieved sources rather than asserted from memory.
Citation faithfulness
Confirms that citations actually back the sentence they're attached to.
Prompt-injection guard
Detects jailbreak and injection attempts in user and tool content before they reach the model.
Confidence calibration
Tunes how assertively the model answers to how well-supported the answer actually is.
Why it's safe to run in production.
Deterministic
Each algorithm is plain, inspectable logic — no extra model round-trips, so behaviour is repeatable and cheap.
Fail-open
If an algorithm errors, the turn proceeds. The suite improves answers; it never becomes a single point of failure.
Governed
Every algorithm sits behind its own flag, so the suite can be tuned, audited, and rolled out one capability at a time.