[agenticwork]
← agenticwork

◉ how our platform solves this · creative-arts

the craft is yours. the toil is ours.

The piece is the point. But the studio runs a back office — documentation and condition reports, rights and reproduction clearances, the inventory of works, crating and install logistics, the same listing typed up for every show. It surrounds the bench and quietly takes the day.

◉ the answer

Agentic workflows run prep-and-publish on your own infrastructure — against your own models — with a human on the gate for anything that acts, and the record written as it goes.

◉ how we solve it · our process

  • Chat — you state the goal in plain language; we shape the work with you.
  • Flows — it becomes a repeatable workflow, on rails and fully auditable.
  • Missions & Fleets — coordinated across as many instances as the job needs.
  • Synth · Brainbow · Code Mode · Exec — the right tool spun up for each step: a throwaway utility, a driven browser, code run against your real systems.
  • your ground, your gate — every step on your infrastructure, a human approving anything that acts.

◉ the mechanism · what actually happens

One request, walked end to end — every step on your infrastructure, against your own models, with a human on the gate.

  1. ChatMode

    You state the goal in plain language — “prep an installation and clear the rights.” ChatMode plans the work and dispatches its built-in agents — planning, data-query, validation, synthesis — to decompose it into pull, analyze, act, assemble. No prompt engineering, no scripts.

  2. SmartModelRouter

    Each step is routed to a model that fits it — a fast model to sort and tag files, a long-context model to read source material, a strong reasoner to check a rights or licensing question — across the providers you register. Bring your own models and run them on your own infrastructure; your unreleased work, your drafts, and your client material stays inside your network.

  3. MCP tools · OBO credentials

    Agents reach your asset store, your publishing accounts, and your reference library as MCP tools, each call running under your own identity. The platform forwards your scoped credentials per call — no shared token, no pooled service account, no secret pasted into a prompt. Every call is logged.

  4. Tool Synthesis · Code Execution

    Sources never agree on format. Code Execution writes a one-shot Python tool on the fly to write a throwaway converter or validator, run it sandboxed, and discard it — credentials injected at runtime, run in a hardened sandbox, then discarded. No tool is registered, nothing persists.

  5. AgenticWorkflows

    The prep-and-publish flow becomes a flow of named agents — repeatable, auditable, on rails. And there’s more behind sign-up: rights and compliance sweeps, multi-destination publishing pipelines, and research flows — the many ways the platform runs this, with more revealed after you sign in.

  6. HITL approval

    Nothing acts until you say so. The human-in-the-loop gate is real architecture, not a setting — any step that would publish or ship your work stops and waits for a person; if no one approves, it times out and is denied. You review the plan and the scope, and approve before anything happens.

  7. Stay in the studio · agents handle the rest

    The piece stays yours. The reference gathering, the documentation, the export and listing work — the agents run the busywork around the studio while you stay at the bench. You keep the long, uninterrupted focus the work demands, and nothing about your pieces goes out without your sign-off.

  8. Audit trail · DLP · RBAC

    Every model call, every tool call, every approval is written to an append-only audit log — once a decision is recorded it’s frozen, so the trail is tamper-evident. DLP keeps sensitive material inside your network, and role-based access scopes who can do what. It’s a record you can stand behind.

The toil ran itself, it acted only on your nod, and the record is already written — and that’s one flow. Rights and compliance sweeps, multi-destination publishing pipelines, and research flows are waiting behind sign-up.


◉ go deeper

Run it on your own infrastructure — or with us.

Talk to us to see the platform on your stack — governance, fleet, support, and the enterprise capabilities. Or self-host the platform in your own environment and run the whole thing today.

The platform self-hosts in your own environment — chat, flows, and the ops MCPs. Fleet, Mission, CodeMode, governance and support come with the enterprise platform. Designed for FedRAMP-High deployment.