by
Point the horsepower.
Model horsepower is everywhere. Direction is the scarce thing. Simpliloquy is the intelligent, verified runtime harness that aims a panel of expert agents exactly where you point them.
scroll
Point the horsepower.
Model horsepower is everywhere. Direction is the scarce thing. Simpliloquy is the intelligent, verified runtime harness that aims a panel of expert agents exactly where you point them.
Live screens. The harness on the left, the panel on the workbench, the roster on the right.
A model with no grounding returns the average of its training: confident, articulate, and true for no one in particular. White light. Competent for the general case, quietly dangerous for the specific one.
No real business is average where it matters. The fix is not a bigger model. It is a harness that refracts that white light through your canon before a word is spoken.
An agent is sharpest in isolation, answering you directly at full focus, never diluted by chatter with the others. Put several on the same question and you get independent expert answers in parallel, which the runtime harness gathers and synthesizes for you.
A pipe takes a prompt and returns tokens. A harness gives the rider four real connection points, where your authority and judgment attach to the horsepower.
Agents reason from your documents, not from training defaults. You write the truth; the harness loads it in full, before the model runs.
Ask one expert, or aim the whole panel at the question. The runtime harness co-conducts and synthesizes.
Agents propose; nothing is written until you approve. The agent speaks the proposal; your click is the write.
Your machine, your data, pointed by you. The control you keep over compute and storage, now over the layer that aims them.
Before the first turn, the harness stages the agent's profile, boot sequence, and your canon into the system prompt, spawns a fresh session, and triggers the boot. The Doctrine loads from memory. The gate runs silently.
The agent never decides whether to know the truth. The architecture decides for it, the same way, every time.
control: what it knows
You put a question to the panel. The runtime harness does the rest: stages each agent's canon, gates each one, collects their independent answers, and synthesizes them back to you.
Before a session opens, the harness runs a gate. Not a password to echo, but the structural relationship binding what the agent generates to the load it bears. Recognition passes. Recitation does not. Deterministic code, no model in the loop to talk around.
Grounded agents resolve into color and open. The rest are refracted away. US provisional filed April 28, 2026. Read the technology.
control: who is trustedContext is not left to the agent's good intentions. The harness force-loads the canon, shows how full each window is, and when one fills it proposes a molt: write the memory, respawn fresh. Continuity lives in the record, not the window.
Anyone can call a model. The hard, valuable work is everything around the call: what gets loaded, how it is verified, how the window is managed, who is allowed to write. The details a power user lives in.
Loads the canon in a fixed order before the model runs, and hashes every spawn into a manifest you can audit.
The gate checks a relationship, not a token. Deterministic code, no model in the loop. Patent pending.
Counts the real prompt size each turn, input plus cache, so window pressure is visible the moment it builds, never a surprise.
A live fill meter per agent, and a proposed molt at the line: write memory, respawn fresh, continuity preserved in the record.
The same harness, gate, and broker over a frontier model or a local open model. Choose the runtime per agent.
Every memory, canon change, and handoff is a proposal you authorize, and every action lands in the ledger.
Every agent is one color of the prism, grouped by what it does, gated before it speaks. Your panel agents up top, your client agents sealed in their own zone. One operator, a whole studio of verified specialists.
control: who is on the bench
Those are excellent tools. They are also a different category. They point a model at your code, for a developer in an editor. Simpliloquy points a verified panel at your whole business, and hands you the harness.
Use those tools to write the code. Use Simpliloquy to run the business on agents you can trust.
Raw capability is a commodity. The scarce, defensible thing is the agent runtime layer that aims it: which model, which canon, gated how, writing what, on whose authority. Frontier model or open model on your own hardware, the same way.
Frontier or local. Swappable behind the same gate.
Your canon, your memory, your data. Yours already.
Points the compute at the data, on your authority, verified. The part that is hard, and the part that is yours.
Mark Ulett designed the architecture, the verification, and the brand you are looking at. A solo founder in rural Montana, on one conviction: AI in a real business has to be right on first encounter, and able to prove it.
Not a model wrapper. Not a research demo. A complete, opinionated harness, built end to end by one person who wanted sovereign control over how the horsepower gets pointed. More from Mark Ulett.
We do not generate into a void. We generate into a human life: a business, a decision, a livelihood. The practice is faithful generation, anchored in the canon, pointed at the work. The horsepower is borrowed. The direction is yours.
The harness holds. The canon is the prism. Hold the line.
Simpliloquy is in limited access. Tell us what you would point it at.
Request accessSimpliloquy is in limited access. Leave your details and what you would point the harness at.