Deadwater

Pricing

Two ways in.

Start with one painful workflow, or install the Context OS your agents need to work from source truth and take action in your stack.

Focused automation

Workflow Build

Two high-impact content or growth workflows, built around your source material and current stack.

From $22,000 for 2

2-3 weeks

Scope a workflow

Includes

  • Two production workflows with clear inputs and outputs
  • Knowledge base and workflow contract
  • QA gates, edge cases, and handoff docs
  • Training for one operator

Best for

  • Two painful bottlenecks
  • Fast operational win
  • Proving the model
  • AirOps or similar workflow tools

Context OS architecture

One hub. Many delivered outcomes.

Shared company context directs models and live data toward finished, verifiable outcomes. The tools and connections are the machinery underneath each spoke.

The hub

Context OS

Truth · rules · permissions · QA · state · memory

Content engineering

Search + team insights

Product intelligence

Calls + support data

Sales strategy

CRM + deal data

Article refreshed

CMS + QA

Product docs updated

Docs + repo

Code change shipped

GitHub + tests

Support insight acted on

Tickets + product data

Customer signal routed

CRM + workflows

Hub: Shared company truth and operating rules
Spokes: Outcomes the system can deliver and verify
Underneath: Live data, models, APIs, skills, and workflows

Consulting

Keep the machine running

SEO/AEO monitoring, site health, workflow updates, context maintenance, and new content systems as the business changes.

$10,000-$20,000 / month

Discuss consulting

Quick distinction

Workflow Build is one production workflow with clear inputs, outputs, QA, and handoff.

Context OS is the full operating layer: markdown source truth, skills, workflows, QA gates, publishing paths, and scoped action in your CMS, repo, sans-CMS site, or other connected systems. Each spoke is a delivered outcome; the platforms and APIs are the machinery underneath it.

Consulting is for teams that want Deadwater to keep tuning the system, monitoring performance, and shipping new workflow capability after launch.