Orchestrated agents that plan, split the work, run in parallel, check each other and hand back clean results. We run our own delivery on this pattern every day, so we build yours from experience, not from a blog post.
Long tasks blow the context window, parallel agents step on each other, and nobody knows which agent changed what. Orchestration fixes that: one manager owns state and decisions, workers run isolated, reviewers resolve conflicts, and every step is traceable.
- 01
Delivery loops
A manager agent cuts a backlog into groups, parallel executors each ship one group on its own branch, a reviewer resolves conflicts. It's how we run ARCVS.
- 02
Research & analysis pipelines
Fan out to dozens of sources, verify claims adversarially, merge into one sourced report.
- 03
Document-heavy operations
Intake, classification, extraction, validation and filing as separate agents with hand-offs you can audit.
- 04
Agent ↔ human boards
Agents work a queue, humans approve at the gates. The board stays the source of truth.
- 01Orchestration architecture: roles, hand-offs, state ownership
- 02Isolation: sandboxes, worktrees, scoped credentials per agent
- 03Conflict and failure handling, retries, budgets per run
- 04MCP servers to expose your systems to agents safely
- 05Run dashboard: who did what, cost, duration, outcome
- Claude Agent SDK
- LangGraph
- MCP
- Temporal
- Vercel Workflow
- Queues
- Postgres
- Python
- TypeScript
Your competitor's agent is working right now.
Get my agent nowWhen do we need multiple agents instead of one?
When the task is too long for one context, when parts can run in parallel, or when you want independent review. If one agent does the job, we'll tell you and build one.
Do you use a framework or build from scratch?
Whatever fits. LangGraph, the Claude Agent SDK, durable workflow engines or plain code. The orchestration logic stays readable and in your repo.
How do you keep parallel agents from conflicting?
Isolated workspaces per agent, a single writer for shared state, and a reviewer role that only activates on real conflicts.
Is this real or theoretical?
Real. Our own delivery loop runs a manager, parallel executors and a conflict reviewer that open and merge pull requests.
Tell us the pain. We answer in one business day.
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- Direct lineTelegram@w1ldcrow
- For the paperworkEmailcontact@arcvs.tech
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- ✓Fixed price before we start
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