DearTech-OS is the Context OS your operations run on.
Your company knows things, but the knowledge is scattered across docs, decks, calls, tools, and individual heads. DearTech-OS turns it into a living Context OS your AI can query, traverse, and act from. Knowledge that compounds. Operations that ground.
Sound Familiar?
Is your company memory trapped in people and projects?
Your founder is the search engine
Everyone asks the same person where the latest deck, pricing logic, customer insight, or board narrative lives.
AI context is locked to one chat surface
Your AI tools have files attached and instructions written, but the knowledge cannot be searched as a graph, traversed across decisions, or used outside that one AI's chat.
Knowledge does not compound
A great customer call creates insight, but it dies in the transcript unless it gets linked to ICP, objections, product, and sales.
Context walks out the door
When a key operator leaves, their tacit knowledge, chat histories, and personal AI workflows leave with them.
Reports require archaeology
Investor updates, product decisions, and GTM planning still require hunting through old docs instead of querying one graph.
These patterns appear across 5 out of 6 companies I work with.
The Shift
From scattered knowledge to an operating layer
1 graph
for the Context OS
Atomic concepts, source-backed claims, and visible relationships replace scattered documents and private AI projects.
3 paths
where value starts
Finance and investor reporting, product decisions, and GTM execution are usually where shared context proves value first.
0 lock-in
to one AI tool
The knowledge lives in your git-backed graph. Claude, ChatGPT, Cursor, Codex, and future agents can plug into it.
The Transformation
From static docs to compounding context
Before
- Critical knowledge scattered across docs, calls, decks, and chat
- AI knowledge locked inside one vendor's chat. Can't be searched as a graph or fed to other tools
- Investor updates rebuilt from scratch every month
- Customer insight disconnected from product and GTM decisions
- New hires onboarding through tribal knowledge and guesswork
After
- A living knowledge graph founders can see and traverse
- Source context, confidence, status, and relationships are visible
- AI retrieves the few concepts that matter for each question
- Every useful insight strengthens the rest of the Context OS
- GTM, finance, product, ops, and board reporting share context
Use Cases
Built for the parts of the company that need shared context
Finance
Founder needs to answer where the business is, what changed, and what investors need to know
Reporting starts from one trusted knowledge layer instead of a monthly search through old files
Product
Customer conversations, feature requests, and roadmap rationale live in different places
Product decisions can trace back to evidence, customers, and prior tradeoffs
GTM
ICP, positioning, objections, campaigns, and sales learnings decay unless someone maintains them
Campaigns improve because objections, positioning, and sales learnings compound every week
How It Works
Build the Context OS in 4-8 weeks
Not another workspace full of pages. A focused build that turns your operating knowledge into a graph your AI tools can use.
Audit current state
I map where knowledge lives, which decisions depend on it, and where context gets lost between people, tools, and teams.
Choose the starting point
We start where the graph will prove value fastest: usually GTM, finance, product, or founder operations.
Build DearTech-OS
I create the knowledge graph, navigation layer, ingestion workflow, and AI access pattern.
Transfer ownership
You own the knowledge graph. Your team gets the maintenance ritual, handover docs, and clear rules for what gets added next.
What You Get
- A live DearTech-OS deployment, not a theory deck
- Shared context across the AI tools you use
- Graph health, ingestion, and curation workflows
- Team-ready operating and handover docs
- Reusable views for GTM, finance, product, and ops
The Approach
I'm probably not for everyone
If you need 40-page reports, weekly status meetings, or a team of junior analysts, there are great firms for that. This is something different.
Builder, not advisor
I build with your team, not hand down recommendations from above. You get working systems, not slide decks.
Senior delivery only
No junior analysts. No subcontractors. You work directly with me from audit through handoff.
No consultant dependency
Everything I build transfers to you. Editable formats, documented processes, maintenance playbook. I leave and it keeps working.
See what your company graph could look like
In a 30-minute call, I'll map where your company knowledge lives, identify the first graph worth building, and show what your founder-ready operating layer could become.
Best for seed to Series A founder-operators