freedom-intelligence/INTENT.md

# INTENT

> This file captures **why this repository exists**,
> the **direction it is moving toward**, and
> the **kind of system it is meant to become**.
> It is intentionally **aspirational and stable**, not a description of current implementation.
>
> Founding record: `history/InitialExploration.md`

---

## One-liner

**The just-in-case open-weights model lab** — Coulomb/NetKingdom sensing and reserve for AI capability, cost, and operable local intelligence.

---

## Why This Exists

AI capability is moving faster than any single product roadmap. Frontier models, open weights, training recipes, and agent harnesses shift monthly. Most organizations either:

* chase every vendor announcement without durable memory, or
* lock into a single cloud API and lose optionality when prices, licenses, or access change.

Coulomb NetKingdom needs a third posture:

1. **Sense** what actually moves capability, cost, accessibility, and operability.
2. **Reserve** open-weight artifacts that may matter later for local training or operations.
3. **Bias** toward intelligence that can be inspected, specialized, and run under our control.

Freedom Intelligence is that lab — not a chat product, not a public model CDN, and not a commitment to host every frontier model.

---

## Mission

> *Where we are going.*

Become the Coulomb NetKingdom **intelligence sensing loop and open-weight strategic reserve**:

* a **daily research brief** that filters noise into lab-relevant signal across four standing axes;
* a **deliberate collection** of open-weight models (and justified companions) on backup-class storage;
* durable in-repo memory (briefs, inventory metadata, research notes) that outlives any single session or vendor.

---

## Standing axes (the permanent lens)

| Axis | Focus |
| ---- | ----- |
| **A — Frontier** | Best-of-class capabilities, benchmarks, and price-point trends |
| **B — Edge / local / open** | Low-cost open and local compute intelligence and specializations |
| **C — Homelab training** | Pre-, mid-, post-, and domain specialization recipes that fit lab hardware |
| **D — Harness & fleet** | Agent harnesses, orchestration, sandboxing, and fleet management |

These axes define *what we watch*, not a promise to implement every technology we report on.

---

## Dual loops

```text
Daily research brief  ──►  Sensing loop   (awareness, prioritization)
Open-weight reserve   ──►  Strategic reserve (optionality for train / run)
```

The brief feeds collection candidates. Collection never mirrors the entire Hub — only high-leverage, clearly licensed, hard-to-reobtain artifacts.

---

## Design principles

* **Signal over noise** — report what changes capability, cost, access, or operability.
* **Just in case** — hold optionality without obligation to serve every model.
* **Catalog in git, blobs on backup storage** — metadata is versioned; weights are bulk media.
* **License and integrity first** — no collection that terms forbid; checksums and provenance required.
* **Homelab honesty** — prefer methods and models that fit our real hardware envelope.
* **Operable intelligence** — models without harness, sandbox, and fleet thinking are incomplete for NetKingdom.
* **Inspectable and open-leaning** — bias toward stacks we can audit and specialize.

---

## Strategic role in Coulomb / NetKingdom

| Freedom Intelligence supplies | Adjacent systems own |
| ----------------------------- | -------------------- |
| Field sensing and briefs | State Hub distribution / inbox (optional consumers) |
| Open-weight reserve + inventory | Backup facilities, storage ops, disaster-control policy |
| Guidance on what can run locally | sand-boxer, agent harnesses, local runtimes, llm-connect |
| Domain-specialization *candidates* | Domain repos that consume specialized models later |

It does **not** replace NetKingdom security, identity, ops, or application products.

---

## Intended users

* Operators and agents maintaining Coulomb/NetKingdom infrastructure who need a trusted daily AI field picture
* People deciding when to use frontier APIs vs local open weights
* Future local training / inference facilities that need a curated reserve and inventory

---

## Maturity target

A mature Freedom Intelligence lab should:

* produce a reliable **daily brief** with stable structure and cited sources;
* maintain a **living inventory** of reserved model revisions with integrity metadata;
* enforce a **collection policy** (approval thresholds, license gate, capacity budget);
* know its **hardware envelope** for “homelab accessible”;
* optionally distribute briefs into operator workflows (inbox / State Hub) without becoming a general news product;
* feed domain specialization work without owning every consumer pipeline.

---

## Stability note

Changes to this file represent a **deliberate shift** in why the lab exists or what dual loops it owns. Such changes should be rare. Near-term deliverables and boundaries live in `SCOPE.md`.