Discussion26 07 01

Understood. You want “Gina” as a local, persistent builder/operator living in your filesystem: you give a command, Gina plans, edits files, runs builds/tests, and leaves you artifacts and logs—without you babysitting.

Here’s the clean way to do that.

What “Gina in my filesystem” actually is

A local CLI + daemon with:

a workspace (where projects live)
a brain (local LLM via Ollama/LM Studio, or hybrid)
hands (file editor + command runner)
eyes (verifier: build/test/lint/smoke)
a memory (project notes, conventions, run history)

If you skip any of those, you get a toy.

Architecture (practical, minimal, durable)

1) Install location

Put Gina here (Windows):

C:\QiOS_Local_Only\Gina\

Recommended layout:

C:\QiOS_Local_Only\Gina\
  gina.exe / gina.ps1 (launcher)
  agent\
    gina.py
    config.yaml
    prompts\
    tools.py
    planner.py
    executor.py
    verifier.py
    memory.py
  runs\              # per-run logs + artifacts
  templates\         # your scaffolds (QiNote module viewer, Vite, etc.)
  policies\          # command allow/deny lists
  notes\             # “Gina memory” per project (markdown)

2) Invocation style (what you actually type)

Examples:

gina build "vite app: qially client portal shell"
gina fix (re-run verification and patch)
gina scaffold module 04_PRIMARY/10_datasets/10_banking/10_CashApp
gina status (shows last run + what’s broken)
gina doctor (checks node/python/git/ollama)

3) Safety boundary (non-negotiable)

Gina should ONLY touch:

allowed roots you define (e.g., C:\QiOS_Local_Only\)

And she should:

refuse destructive commands by default (rm, rmdir /s, formatting disks, etc.)
require a --danger flag for anything high-risk
log every command and diff every file change

The “Gina loop” (how she works every time)

Plan
Produce a structured task list: files to create/edit, commands to run, checks to pass.
Execute
Apply patches deterministically (no “rewrite the whole file” unless necessary)
Scaffold using templates (your QiNote module viewer, repo skeletons, etc.)
Verify
Run builds/tests (npm run build, pytest, etc.)
Smoke-run if applicable
Fix
If verify fails, parse the error and patch again
Repeat until pass or iteration cap hit
Ship
Leave you:
runs/2026-01-07_.../log.txt
runs/.../diff.patch
runs/.../artifact.zip (optional)

That’s “Gina in the filesystem.”

Model options (local brain)

Fastest: Ollama

Runs local models and exposes http://localhost:11434
Good for: planning + code edits + error fixing

Typical model picks (pragmatic):

“bigger” for planning/code: 14B-ish class
“smaller” for quick edits: 7B-ish

Hybrid (optional)

Local by default, but can call cloud when you explicitly allow it for hard problems. This keeps you moving without forcing dependence.

Gina’s “memory” (so she stays consistent)

You want consistency across repos/modules—so store rules per project:

notes/projects/<project_slug>.md
your conventions: folder structure, naming, preferred stack, “don’t touch X,” etc.

Also store global rules:

your QiRepo top folders
module templates
preferred scripts
your “QiDecimal / QID” conventions

This is how “Gina” stops acting like an amnesiac.

What you should NOT do

Don’t try to make her fully autonomous across your entire drive.
Don’t start with “build anything.”
Don’t skip verification/logging. That’s how you get silent broken junk.

Concrete MVP you can implement first (1–2 days of real work)

Gina v0.1:

CLI: gina <command>
tools: file read/write/patch, run_cmd, git status
local LLM call (Ollama)
one template: QiNote module lite viewer scaffold
verifier: node installed? run viewer build? link check?

Once that works, add:

“Vite app scaffold”
“repo organizer”
“bulk rename / QID stamping”

Your fastest next step (pick one)

I’m going to force clarity:

Option A — “Gina the Builder” (best match for you)

She scaffolds modules/repos, updates templates, runs builds, fixes errors.

Option B — “Gina the Sysadmin”

She organizes, inventories, audits, generates scripts, but doesn’t build apps much.

If you answer nothing, you clearly mean Option A.

I can produce the actual starter repo now

Say:

your OS (Windows yes)
where the workspace root is (I’ll assume C:\QiOS_Local_Only\)
local model runtime: Ollama or LM Studio (I’ll default to Ollama)

And I’ll give you:

the folder tree
the Python code for gina.py (planner/executor/verifier)
a safe command runner
logging + artifacts
a first “module viewer scaffold” command

If you want this to feel like “Gina,” not “random script,” this is the path.