Package A
Workflow build
Targeted AI automation for one high-impact bottleneck.
From $22,000
Typical timeline: 2-3 weeks
- 2 production-ready workflows
- Input-output contract and logic design
- QA, edge cases, and handoff docs
Deadwater.ai
Install AI systems that run.
Deadwater builds stack-aware AI workflows and full Content OS platforms for teams that need reliable execution, not prompt glue.
Choose your path
We either solve a bottleneck fast or install the full operating layer that compounds.
Package B
Content OS install
Code-first system where AI can operate on content safely.
From $50,000
Typical timeline: 4-6 weeks
- Markdown and git source of truth
- Schemas, guardrails, and safe execution paths
- Documented AI hooks for your operating stack
Content OS philosophy
AI is here to stay
Treat AI as an operating layer, not a sidecar tool.
Growth content sucks
Systematize repetitive production so humans stop grinding low-leverage work.
Humans deserve humans
Move human energy to strategy, POV, and conversion-critical communication.
How reliability is built
A Content OS is not a CMS plus prompts. It is structured context, contracts, guardrails, and execution semantics running in your environment.
Interactive map
Content OS anatomy
Click a layer to see what it actually means in practice. This is the minimum structure that keeps AI systems stable over time.
Selected layer
Single source of truth
Portable, versioned content the system can trust.
- Markdown-backed modules with explicit ownership.
- Version control as the change ledger.
- Clear boundaries between drafts and published artifacts.
From prompt glue to operating system
Problem
Prompt glue, drift, brittle outputs, and teams babysitting automations.
System fix
Shared context modules, explicit contracts, and guardrails that fail loudly.
Business result
Higher velocity, stable quality, and leverage that compounds with each workflow.
Built for your stack
We scope around your current tools, docs, and content systems. If a system holds real context, we integrate it. If it blocks reliable execution, we replace it with code-first ownership.
Deadwater deployments are stack-aware and outcome-scoped, from targeted AI workflows to full Content OS installs.
Stack-aware consulting