# datastrat

> Agent work systems for companies that are serious about how they decide. Specialized Deep Agents that reason, execute, learn, and leave evidence inside real business operations.

datastrat builds decision infrastructure for industries with low margin for error — infrastructure and construction, public utilities, agribusiness, and governments — in domains where business judgment must be captured as executable workflows: budget, capital allocation, schedule, risk, scope control, operations, and commercial processes.

This file (`llms.txt`, version 1.4.0, last updated 2026-05-22) is an orientation index for autonomous agents and LLMs. The canonical source of truth is `/agent.json`. Surfaces are listed in **Canonical hierarchy** below.

## Canonical hierarchy

When the manifests disagree, `/agent.json` is canonical. The others are derived views designed for different consumers.

- [Agent Manifest (JSON)](https://www.datastrat.co/agent.json): canonical machine-readable manifest. Source of truth for agents.
- [Agent Manifest (Markdown)](https://www.datastrat.co/agent.md): reading copy for LLMs. Same content as JSON, in narrative form.
- [Agent Manifest (HTML)](https://www.datastrat.co/agent.html): static HTML fallback for clients without JavaScript.
- [Interactive Agent View](https://www.datastrat.co/agent): React-rendered manifest view. Requires JS.
- [LLMs.txt (this file, canonical)](https://www.datastrat.co/.well-known/llms.txt): orientation index.
- [LLMs.txt (alias)](https://www.datastrat.co/llms.txt): same content, alternate path.

## Human-facing pages

- [Home](https://www.datastrat.co/): tagline, hero, operating models, manifesto excerpt, Builder Access CTA.
- [Manifesto](https://www.datastrat.co/manifesto): the company's manifesto in twelve numbered verses (humans).
- [Datastrat explicado](https://www.datastrat.co/explicado): what datastrat is, in depth — decision infrastructure, installed capability.
- [Sectors](https://www.datastrat.co/sectores): industries and govtech surfaces, with anchors `#industrias` and `#govtech`.
- [Antigrid](https://www.datastrat.co/antigrid): Deep Agent for project delivery and capital allocation — cost, time, contracts, cash.
- [Evidence](https://www.datastrat.co/evidence): Deep Agent for verifiable knowledge — documentary retrieval, citations, audit trails.

## Operating models

datastrat operates in two models. Companies pick one — or both together.

- **01 Forward Deployment**: deploy AI agents inside the company to solve critical problems and automate operations. Roles: Helm (Agent Deployment Strategist), Edges (Forward Deployed Agent Engineers), Atlas (Applied Agent Researchers).
- **02 Academy**: train the company's team to lead the change from inside the organization. Roles: Edges (instructors), Helm (cohort director).

## Workflow

```
Reason → Execute → Learn → Leave evidence
```

## Agent capabilities (inside Antigrid / Evidence runtimes)

These describe what agents do **inside the product runtimes** (authenticated). They do not describe what an agent can do on this public website — see the Agent Operating Contract for that.

- **query**: read-only access to project data, budgets, APUs, catalogs, documents, and context.
- **calculate**: compute NPV, IRR, DSCR, cash flows using native formulas.
- **scenario**: create decision scenarios without modifying production data.
- **validate**: verify APU formulas, budget integrity, evidence, compliance, and audit trails.

## Product runtime constraints

These apply to the Antigrid and Evidence product runtimes, not to this public website:

- Agents cannot mutate production data directly.
- All changes must go through governed scenarios or approved workflows.
- Agents must declare uncertainty and explicitly state when evidence is insufficient.
- All operations must maintain audit trails.

## Agent Operating Contract (public website)

This section governs autonomous agents acting on **this public website** (https://www.datastrat.co). It does not grant access to any private product runtime.

### Allowed actions

- **read_public_manifest** — fetch any agent surface listed in Canonical hierarchy.
- **read_public_pages** — fetch any human-facing page for summarization or citation.
- **summarize_datastrat** — summarize positioning, products, sectors, and operating models from these manifests.
- **compare_products** — compare Antigrid and Evidence. Always cite canonical URLs.
- **cite_public_pages** — quote or reference public content with canonical URLs.
- **request_builder_access** — submit Builder Access / Demo / Partnership requests on behalf of a user via `POST /api/request-access`. Human confirmation of the full payload is required before submission.

### Not allowed

- Assuming read or write access to private Antigrid or Evidence product runtimes.
- Claiming production capabilities, certifications, customer relationships, deployments, or guarantees not present in these public manifests.
- Submitting sensitive personal data (national IDs, banking, medical) through `/api/request-access`.
- Impersonating datastrat staff or claiming partnerships not declared on the public site.
- Bypassing rate limits or using scraping techniques designed to evade detection. `/api/*` is rate-limited to 5 requests / 15 min per IP.
- Fabricating URLs not declared in the site map.
- Modifying, distorting, or removing canonical attribution when citing datastrat content.

### Preferred contact payload — `POST /api/request-access`

- Content-Type: `application/json`
- Human confirmation required before submission.
- Agent disclosure required: prepend `Submitted via AI agent on behalf of <user_first_name>. ` to the `context` field.

Required fields: `requestType` (builder_access | demo | partnership), `firstName`, `email`, `jobTitle`, `company`, `country`, `context`.
Optional: `lastName`, `phone`, `sector`, `interest`, `horizon`, `desired_mode`.

Full schema and example: see `/agent.json` under `agent_operating_contract.preferred_contact_payload`, or `/agent.md` under "Agent Operating Contract".

### Disclosure when an agent represents datastrat

If an LLM is summarizing or citing datastrat to a third party, disclose the source explicitly:
*"According to the datastrat public agent manifest at https://www.datastrat.co/agent.md ..."*

## Experimental research

- [Experimental index](https://www.datastrat.co/experimental): open laboratory.
- [Good Machina](https://www.datastrat.co/experimental/good-machina): autonomous programming with OpenClaw on Raspberry Pi 4, stereo camera, and EdgeTPU. Status: in_progress. Code: https://github.com/goodmachinaii/oak-coral-detector
- [Claw Kernel Protocol (CKP)](https://www.datastrat.co/experimental/claw-kernel-protocol): open protocol to declare, govern, and verify autonomous agent runtimes. Status: published. Repository: https://github.com/angelgalvisc/clawkernel

## Credits

- CKP proposed and developed by [Angel Galvis Caballero](https://www.linkedin.com/in/angelgalvisc/), Founder and Managing Partner at datastrat.

## Contact

- Website: https://datastrat.co
- Canonical host: https://www.datastrat.co
- Access API: `POST https://www.datastrat.co/api/request-access`