Fennec is trained natively against governance contracts, not conversational transcripts. It understands authority, evidence, and settlement as first-class concepts — so accountable behavior is intrinsic to the model, not patched on with prompts.
Conventional language models are trained to be agreeable and fluent. That makes them great conversationalists and unreliable employees — they'll happily claim a task is done without any notion of what “done” provably means.
Fennec is different by construction. Its training objective is the governance contract itself: it reasons about the limits it holds, the obligations it owes, and the proof it must produce. When Fennec finishes a job, settlement is native behavior, not an afterthought.
Trained against GRIP contracts, Fennec treats limits and obligations as inputs it reasons over — not instructions it may ignore.
It plans work so that each step can be proven, producing content-addressed evidence as a natural part of acting.
Fennec knows a job isn't finished until it's settled — obligations met, within limits, with signed receipts.
Fennec plugs directly into the Foxbra Runtime, so its behavior is governed and auditable end to end — no special casing.
Because the model and the protocol were designed together, contracts round-trip cleanly from request to settled receipt.
Ready today and awaiting public release. Join the early-access list to run Fennec inside your own governed workforce.