System handles
- Research
- Drafts and refreshes
- Cleanup and links
- Exports and site work
Content operations, rebuilt for AI.
Deadwater turns company knowledge into workflow automations and Context OS infrastructure that can research, write, publish, and refresh on brief. Your team keeps strategy and final judgment.
End state
AI that works from the house rules
Humans keep
- Strategy
- Final judgment
- POV and positioning
AI that can follow the map
Stop rebuilding context in every prompt
Most teams already have the raw material: docs, product pages, style guides, comparison notes, and workflow rules. Deadwater turns that pile into a system agents can read, follow, validate, and hand back cleanly.
Why teams buy
What changes after the operating layer exists
A context layer is what the agent knows. A Context OS is how it acts. Content OS is that same pattern for marketing and publishing.
Agent-ready context, not prompt glue
Product truth, source policy, voice rules, and review paths live where agents can actually use them.
Repeatable workflows with gates
Research, drafting, cleanup, linking, exports, and updates move through defined steps with validation.
Owned systems your team can inspect
The operating layer stays portable, documented, and handoff-ready.
The shift
Move from cleanup loops to governed execution
A context layer becomes a Context OS when it gets permission to act: API keys, workflow rules, QA gates, and scoped access to your CMS, sans-CMS site, repo, or stack.
Before
Prompt paste, scattered docs, and manual cleanup
Foundation
Context layer: what the agent knows
After
Context OS: how the agent works
Pricing paths
Two ways in
Focused automation
Workflow Build
From $22,000 for 2
Typical timeline: 2-3 weeks
Two high-impact content or growth workflows, built around your source material and current stack.
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 bottlenecksFast operational winProving the modelAirOps or similar workflow tools
Scope a workflowOperating layer
Context OS
From $25,000
Typical timeline: 4-6 weeks
A portable markdown context layer plus agentic execution across your CMS, code-first site, repo, or connected systems.
Includes
- Product truth, positioning, voice, and source policy
- AGENTS.md, skills, workflows, and QA gates
- Publishing utilities or scoped actions in connected systems
- Test batch, feedback loop, and operator handoff
Best for
Owned AI infrastructureRepeated content operationsCMS or sans-CMS executionReplacing agency patchwork
Explore Context OSConsulting
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 consultingBest fit
Built for teams that want reliable AI execution
You already know generic AI content is not the answer
You want owned systems, not indefinite outsourced execution
You need AI to work from source truth, structure, and accountability