QS Orchestra
Start an orchestration →
A Quantum Symbiote Service

One agent can't do the job.
Three composed agents
almost always can.

Multi-agent orchestration: worker-observer pairs, helper-runner handoffs, siloed pre-prediction. For workflows where the model has to reliably reason across stages — and where a single chat-window gets confused, drops state, or hallucinates the middle steps.

Turnaround
10 days · 5-day rush available
Composition
2–5 agents · siloed handoff schemas
Stack
Claude / OpenAI · your framework or ours
Support
30–60 days · tier-dependent
3+
Composed agents per pipeline — worker · observer · helper minimum
2.3×
Typical output throughput vs. single-agent baseline
100%
Structured handoff schemas — output of one is validated input of next
0
"It works in the demo" pipelines that fall apart in production
The problem

A single agent in a long conversation drops state. Multi-step work fails halfway.

You've tried it: ask one Claude conversation to research a topic, synthesize the findings, and write a draft. The first part is great. The middle drifts. By step three the model has lost the thread, hallucinated a citation, and the output is unusable.

Then you try chaining prompts manually. Now it's your head holding the state — and the throughput drops to what you can keep track of in a notepad.

Composition is the fix. Decompose the workflow into discrete agent roles. Each agent owns one phase, with a structured input schema and a structured output schema. The handoff is a contract, not a hope.

Add siloed observers: each one watches one specific agent, pre-predicts what should happen, and flags drift when it doesn't. Quality assurance is part of the mechanism, not a separate pass.

The composition pattern

Four roles. Each one named. Each one observed.

Every multi-agent build composes these four primitives. The variation is what each agent does — not the architecture.

Role 01 · WORKER

The agent doing the substance

Owns one phase of the workflow. Receives structured input, produces structured output, never sees the full pipeline state. Eyes on the road.

Role 02 · OBSERVER

The dedicated quality watcher

Assigned to one agent. Works independently — no cross-talk with other observers. Watches start to finish. Flags drift in a structured report.

Role 03 · HELPER

The mid-flight tool runner

Materializes tools and context for the worker at the moment they're needed. Hands off, dissolves, returns to the bench. The worker never breaks focus.

Role 04 · ORCHESTRATOR

The composer + handoff manager

Routes work between agents according to the composition graph. Manages state, handoff schemas, error envelopes. The only role that sees the full pipeline.

  • D1
    Composition graphArchitecture diagram showing agent roles, handoff schemas, observer placement, error paths.
  • D2
    Agent specsPer-agent SKILL.md or system prompt with explicit input/output schemas and acceptance criteria.
  • D3
    Handoff contractsStructured schemas (JSON / typed) for every agent-to-agent handoff. Validated at runtime.
  • D4
    Observer fleetOne observer per worker, with pre-prediction templates and templated drift-detection reports.
  • D5
    Orchestrator runtimeYour framework or ours — Python, TypeScript, whatever fits the deployment. Routing logic, state management, retry.
  • D6
    Test corpusEnd-to-end runs against real inputs with verified outputs. Edge cases surfaced before handoff.
The brand contract

"Eyes on the road."

Our coordination principle: workers stay focused on the work. Helpers materialize the exact tool the worker needs, hand it off without breaking stride, and dissolve. Observers watch silently and report later. The team you compose feels like a relay race, not a meeting.

Every composition we ship visibly carries this principle — and the QA observer pattern that pairs with it. Architecture visible end-to-end. Capabilities that compound.

"Workers stay focused. Helpers materialize, deliver, and dissolve. Observers watch silently and report later."
Pricing

Three tiers. Fixed price. Scoped by agent count and observer depth.

Pick by composition complexity. Two agents at Entry. Three or four with observers at Standard. Full crew with siloed pre-prediction at Premium.

Entry
2-agent composition. Worker + observer. Single linear handoff.
$800
Fixed · 10-day delivery
  • 2-agent composition graph
  • Structured handoff schema
  • One observer for drift detection
  • Test corpus of 5 runs
  • 30-day support
Start an Entry build
Premium
5+ agent crew. Full QA observer fleet. Custom orchestrator. Production deployment.
$5,000
Fixed · 14-day delivery
  • Everything in Standard
  • 5+ agent crew composition
  • QA observer fleet — Standard depth
  • Custom orchestrator runtime
  • Production deployment to your infra
  • Observability dashboard
  • 90-day support + monthly tune-up
Start a Premium build
Add-ons (any tier)
Rush delivery (5 days)+$500
Additional worker agent+$400 each
Multi-modal handoff (text + image + structured)+$600
QA observer fleet — Max intensity+$1,200
MCP integration for tool access+$400
Production deployment + observability+$800
Case · QS-CASE-002

Content production pipeline.
8 → 23 articles/month.

23
Articles shipped in month 1 — vs. prior 8–10
3–4d → same-day
Research-to-draft cycle time
3
Composed agents: Researcher · Synthesizer · Writer
The setup

A small editorial team producing 8–10 articles per month — limited not by writing capacity but by the research bottleneck. Every article required a researcher to produce a structured brief before a writer could begin. The handoff was manual, inconsistent, frequently lost in context-switching across tools.

The composition: a Researcher agent ingests a topic prompt and produces a structured evidence brief. A Synthesizer agent digests that brief and produces a narrative skeleton with argument sequencing. A Writer agent drafts the article from the skeleton, preserving source citations.

Each agent runs in sequence with a structured handoff schema — output of one is the validated input of the next. Full source provenance on every article. An editorial checklist and a source provenance manifest are appended to every output as standard. The pipeline is theirs to extend.

Client identifier withheld · Verifiable references on request
Start an orchestration

Tell us about the workflow. We'll scope the composition on the call.

Submit the form. Scoping call within 24 hours. We'll diagram the composition graph and confirm agent count before any payment.

Submitting routes to [email protected]. Scoping call within 24 hours.
Frequently asked

Common questions before kickoff.

How is this different from "just better prompting"?
A long prompt asks one agent to do everything. The output drifts because no model holds full pipeline state cleanly across a multi-stage workflow. Composition decomposes the work into discrete agents with structured handoff schemas — each agent owns one phase, the orchestrator owns state, observers catch drift before it compounds. The quality jump is qualitative, not incremental.
How is this different from QS Workflow Automation Workflow Automation?
Automation wires steps together at the platform level (n8n, Make, Zapier) with LLM calls as steps. Orchestration is when the LLM calls themselves are specialized agent roles with their own observers and handoff contracts. Use Automation when the steps are mostly procedural. Use Orchestration when the steps require model reasoning that needs to be siloed and audited.
What framework do you build on?
A battle-tested orchestration runtime by default. Custom Python or TypeScript on request — especially when the deployment target has framework constraints. The composition pattern is framework-agnostic; we pick what fits your stack.
What's the QA observer fleet?
One QA checker per agent. Each works independently — no cross-talk, no anchoring to what the others found. Their reports converge at the end and surface exactly the gaps a single pass misses. Standard depth ships with Premium; max-intensity is available as an add-on.
Who owns the composition after delivery?
You do. The composition graph, agent specs, handoff schemas, observer templates, orchestrator runtime — all yours, in editable formats. No subscription, no retainer, no vendor lock-in. After the support window, nothing in your pipeline depends on us to keep running.