Featbox Try itPTEN

Tool suite0.5.1 · pilot open

Work with AI without losing control.

Featbox is a suite of tools for people running long projects with several AI assistants. Every AI has its role, and you have the final word.

[01] The approach

Method before tools.

AI without a process is automated chaos. Featbox starts from three principles, and the tools exist to keep them.

01

One role for each AI

Each assistant does what it does best: planning, research, review. The project context is the same for all of them.

02

Humans decide

The AI proposes, researches and executes. What becomes a rule goes through a person's approval and is recorded with date and source.

03

No provider sees everything

Each provider gets only what its role needs. The full project stays with you, in your own files.

[02] The tools

Three tools, one way of working.

The names follow a simple rule: Feat + the job. The screens below are from the installed 0.5.1, with demo data.

FB/010.5.1
FeatDesk with five demo notes, filters by state and the recently edited list
Real screen · 0.5.1 · demo data
The workbench

FeatDesk

Markdown notes in a folder you own, in three states: capture, bench and archive. Search everything; the app never touches the internet.

FB/020.5.1
FeatReader on the notes folder, ready to open a document and create its notebook
Real screen · 0.5.1 · demo data
The reader

FeatReader

Reads md, txt, pdf and docx. Each document gets a notebook with highlights, notes and audio, and text-to-speech runs on your computer. Free.

FB/030.5.1
FeatRoom with the personal chain: a decision request, an approval and a rejection, and the chain-intact badge
Real screen · 0.5.1 · demo data
The decision room

FeatRoom

Every request, approval and rejection goes into a hash chain: you can prove what was decided and when. One personal chain and one per project.

[03] How a decision moves

The AI proposes. You decide.

Alongside, an illustration of how a proposal becomes a rule.

log · projectillustration
  1. proposalan AI suggests a change, with its source
  2. reviewanother AI, with another role, reviews the proposal
  3. waitingyou approve or reject
  4. approvedit becomes a rule, with date and source recorded
an illustration of the principle, not a product screen

[04] How it is built

The same standard the product stands for.

Featbox is built with AI, with a person approving what matters.

01

Tested and documented

Nothing is called done without automated tests and a record of why each decision was made.

02

Decisions in writing

Architecture, decisions and tests are written down in every project.

03

Open showcase, private code

This page and the presentation docs are public. The code stays private.

[05] In practice

What we can already show.

Only what works and can be checked, or what was measured, goes here. Anything still a hypothesis stays out.

demonstrated

Nothing leaves your computer.

No feature uses cloud AI in this version, and each app's About screen says so. FeatDesk blocks every network connection. FeatRoom's language model is optional, off by default, and only accepts a model running on your own PC.

demonstrated

Only what you approve becomes a rule.

The AI logs a decision request; you approve or reject it. Each event type has its own color, and a rejection is recorded just like an approval.

demonstrated

A history that can't be erased.

Each event stores the SHA-256 of the previous one, in a file that only grows. The app checks the chain and shows "chain intact". If anyone edits an old record, the check flags it.

demonstrated

The why stays next to the code.

Each module of the project has a short card describing what it does. When new code lands after it, the badge changes from "up to date" to "outdated", so you know what the AI should no longer trust.

measured

What working with AI really costs.

One real week of work (Oct 17–23, 2026): about 650 million tokens across 33 sessions. On average, the AI re-read 380k tokens on every reply. The biggest cost comes from long conversations, not from code.

cost meter in testing; joining the suite
measured

Tested before it's called done.

42 tests in FeatDesk, 48 in FeatReader and 4 for FeatRoom's chain, plus a smoke test of each installed app. Open file formats: if Featbox disappeared tomorrow, your notes would still open.

FeatRoom showing the cards of three modules of a website: two up to date and one outdated because code landed after it
Real screen · module cards from a demo project · folder paths hidden · 0.5.0 screen
Under the hood, for technical readers
  • Apps: Electron, one process per app, each with its own data, single-instance lock and tray icon. Per-user install, no admin rights.
  • Isolation: contextIsolation on, nodeIntegration off, sandbox on, CSP default-src 'none'. The UI never touches the disk: everything goes through validated IPC.
  • Network: FeatDesk blocks http(s) and ws in its session; links open in the system browser. No feature uses cloud AI in this version.
  • Decision log: eventos.jsonl, append-only. Each event stores the SHA-256 of the previous one; the app recomputes the chain and shows whether it is intact. Types: request, approval, rejection, message, execution.
  • Several AIs: the log is an open text file inside the project folder. Any assistant working on the project reads the same context and logs in the same format; no provider gets the whole project.
  • Module cards: one short card per module, generated from the code and tied to a commit. If an execution event lands after it, the badge turns "outdated".
  • Local model: optional, off by default, localhost only (an OpenAI-compatible server such as LM Studio).
  • Tests: 42 (FeatDesk), 48 (FeatReader), 4 for the chain (FeatRoom) and a smoke test of each installed app.

[06] Current status

What exists and what doesn't yet.

No promises beyond what is standing. Version 0.5.1 for Windows, per-user install, no admin rights. When something changes, it changes here.

FeatReaderReader with notebooks, highlights, notes and text-to-speech · free0.5.1 · evaluation
FeatDeskMarkdown notes in a folder you own, no network · paid suite0.5.1 · evaluation
FeatRoomVerifiable decision chain and module cards · paid suite0.5.1 · evaluation
Local memory and "Ask the project"Search your project with a model running on your PCIn development
Pricing and final licenseEverything is unlocked during the pilot; pricing is set with the people who use itAfter the pilot

[07] Who builds it

Who builds it knows operations from the inside.

Renato Manduca, from Garopaba, Brazil. Over a decade inside operations, from the counter to running whole teams: floor, bar, kitchen, staff and cash. That is where the standard for the software he builds today came from: he defines what needs to exist, directs the AI agents that build it, and only calls done what passed the tests.

[08] Pilot

Looking for 5 people for 2 weeks.

I want to know whether Featbox works for anyone besides me. The pilot answers that better than anything on this page.

Who it's for

  • You run a long project: a book, a product, research, a business.
  • You use more than one AI assistant, or want to.
  • You have a PC with Windows 10 or 11.

What you get

  • All three apps, fully unlocked during the pilot.
  • 20 minutes at the start to install it together.
  • Direct help from me when you get stuck.

What I ask

  • Use it on your real project for 2 weeks.
  • Tell me what got in the way, bluntly.
  • A 20-minute conversation at the end.

Your details stay in the email, only to arrange the pilot. Nothing is sold or shared.

[09] Contact

Let's talk.

For partners, investors and anyone who wants to follow Featbox.