AI orchestration
Focused agent teams, model routing and context economy — with explicit limits and evidence.
3BS / Technology
Your AI team.
Real work. Checked results.
We build systems that connect AI to the work a company actually needs done. COSMOS grew inside our own business: operational reconciliation, production engineering and focused agent handoffs. Bring us a workflow; we will help turn it into a managed, verifiable job.
Built in real operations · Demos and scoped pilots · Active development
COSMOS / CONTROL PLANE01 — 03
One goal. A focused team.
Human decision Bounded context. Clear ownership. Evidence returned.
Illustration — no live agents are running on this page
Digital employees. Managed work. Verified outcomes.
One owner. A focused team. A clear definition of done. COSMOS keeps tasks moving across sessions and systems, with approvals for consequential actions and evidence that shows what actually happened.
Request a scoped pilotSilent abstract illustration
One job, start to verified finish
A short silent illustration of the control flow — abstract, not a product screen.
- Define the job and give specialists a focused brief.
- Review the plan and approve consequential actions.
- Check the output against evidence before accepting the result.
✳Persistent context✳Model-agnostic orchestration✳Bounded agent hives✳Approval before action
01 / OUR PRACTICE
The real world
is the specification.
Production systems need more than a convincing response. They need continuity, clear ownership and a result that can be checked. That is the engineering practice behind COSMOS.
Business integration
Adapters and reconciliation workflows connecting software to the systems a business already uses.
Production engineering
Web applications, API workflows and operational maintenance, informed by real deployments.
02 / OUR SYSTEM
Meet COSMOS.
If your process has a defined artifact, an owner and a system of record, it can be scoped as a COSMOS job. We start small, in writing, with criteria you set.
Discover COSMOS03 / FROM OPERATIONS TO A SYSTEM
Built while
running a business.
3BS retail operations provide the development environment: changing marketplace data, accounting handoffs, customer workflows and evolving production services. COSMOS brings these different tasks into a common pattern of context, policy and evidence.
First-party development context, not an independent customer testimonial. Integrations differ in maturity; availability is reviewed per workflow.
A SMALLER FIRST STEP
Start with one workflow.
Define what “done” means.
A pilot discussion starts with the work, not a platform migration. Agree on the scope, access boundaries and a useful test before deciding what to build.
Map the handoffs
Name the sources, agent roles and decisions that need a person.
Define the proof
Choose a baseline, acceptance checks and the limits of the result.
Review the next step
Use the evidence to decide whether to refine, expand or stop.
A useful first candidate
A recurring task with accessible evidence and a result you can inspect. Keep the first scope small enough to review.
Keep outside the first scope
Unrestricted access, unsupervised irreversible actions or a promise that every model answer will be correct.
Prepare a short enquiry
Choose a starting point and describe one outcome. Copy the brief when you are ready; you decide what to share.
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LET’S START WITH THE WORK
Talk to the team
Tell us one task you would delegate to a digital employee. We will discuss the deliverable, your tools, acceptance checks and a bounded demo or pilot.
Talk about a demo or pilot
Tell us what you want to make work. Start a conversation on Telegram to discuss a COSMOS demo or a scoped pilot.
Talk on TelegramMCP / API / IDE
Your environment. A shared control plane.
Connect the tools you already use through MCP and configured provider adapters. Protocol compatibility is not the same as an end-to-end verified native integration.
Local adoption or configured adapter; acceptance required
Local adoption and configured hosts
- VS Code
- Native Codex
- Cursor
- Claude / Claude Code
VS Code and native Codex have recorded local adoption paths. Cursor and native Claude / Claude Code have harness and MCP configuration adapters; a configured adapter is not host acceptance. A fresh host chat, version, permissions and workload are verified separately.
Protocol-compatible or candidate; pilot validation required
MCP-compatible hosts and candidates
- MCP-compatible hosts
- OpenClaw
Other MCP-compatible environments can use the governed MCP surface subject to transport, permissions and tool admission. OpenClaw is a candidate for a scoped external integration pilot, not a verified bundled integration; its gateway and runtime are not embedded.
Synthetic evidence, adapter contracts and planned routing
Providers and custom pipelines
- Z.AI / GLM
- OpenRouter
- Python / CLI / MCP pipelines
Z.AI / GLM passed an exact-output synthetic canary; this does not authorize private-data routing or establish general model quality. OpenRouter routing and evaluation are planned, not currently admitted by the closed provider profiles. Custom pipelines can use Python, CLI and MCP contracts around individually validated domain adapters.
Deploy around your boundary
We discuss local, private-server and managed deployment around your data and operational constraints. A scoped demo establishes the required IDE, model, tools, permissions and evidence before a rollout.
COSMOS keeps useful state between sessions, retrieves a focused working set and returns compact evidence. Different layers save different resources: input tokens, transported bytes and tool calls must be measured separately.