F.A.Q
Frequently Asked Questions
Metacognition is the system noticing how it’s thinking—then adjusting. It’s the difference between answering a question and choosing the right way to answer for this person and context.
I ThinC adds structure—boot sequences, reflection passes, and URCF loops—so outputs are consistent, explainable, and easy to refine over time.
Unified Recursive Cognition Framework—our method for iterating: generate → evaluate → refine → integrate → repeat, with explicit checkpoints for bias, energy cost, and context.
Yes. It’s model-agnostic. We expose REST endpoints and webhooks; you can point it at OpenAI, Anthropic, Gemini, or your own gateway
A lightweight layer for AI that defines modes (Jetpack, Ultra, Listen), masks (tone/purpose), and safety rules so the assistant adapts without slipping into sycophancy or manipulation.
No. They amplify human judgment. We design for complementarity: humans set goals and meaning; AI scales reasoning, recall, and iteration.
We enforce transparency (declare the active mode), reversible choices (easy to switch), and audit trails (why this tone, why this step) so adaptation stays ethical.
Book a short discovery call. We’ll map your use case, design a minimal pilot, and ship a working loop in days—not months.