The AI teammate that
Risposte dal tuo stesso traffico catturato — non congetture. Ti ricorda su dashboard, Telegram e chat.
Ask, understand,
Trasforma il traffico catturato in risposte e in azioni delimitate dal ruolo.
- con ambito RBAC
- con conferma obbligatoria
- segreti oscurati
Fondato sui fatti, non sulle ipotesi
Chiedi «come fa il login questa app?» e ottieni il flusso reale, direttamente dalle tue catture, più codice di repro eseguibile con i secret oscurati. Le risposte arrivano con le prove.
Si ricorda di te, ovunque
Insegnagli un fatto una volta e ti segue su ogni superficie — dashboard, Telegram, MCP e il terminale. Vuoi cancellare qualcosa? Basta un «dimenticalo».
Un cervello di squadra che non può avere fughe
La conoscenza condivisa viene distillata dalle chat di tutti dietro un filtro PII rigoroso e una coda di revisione umana. I fatti personali sono separati a livello architetturale dallo store del team — non possono passare dall’altra parte, per progettazione.
Specialisti su richiesta
Collega una persona calibrata al service group di una API e BusyBro la adotta automaticamente ogni volta che quel traffico è in primo piano. L’esperto di pagamenti compare per il traffico dei pagamenti — senza che nessuno lo chieda.
Onestà dimostrabile
La traccia di attività mostra esattamente quali tool sono stati eseguiti dietro ogni risposta, e ogni scrittura di BusyBro finisce nell’audit trail della piattaforma. Fidati perché puoi verificare.
Il modello lo scegli tu
Usa i modelli Anthropic di default, puntalo a qualsiasi endpoint compatibile OpenAI o porta un modello locale. Le chiavi vivono nel vault cifrato e la memoria sopravvive al cambio.
Ask once,
One brain behind Telegram, the iOS app, the terminal, and your MCP-connected agents — same account, same memory, same rules.
Link once
01On Telegram, /login pairs the bot with your account via a short-lived code — no link, no LLM call at all. The iOS app and the bmc terminal already speak as you.
Ask in plain language
02Name a device by its name, PAC port, or URL; name a host; describe a bug. Attach a screenshot or a PDF on Telegram and it reads those too.
Tools, not vibes
03Answers come from real tool calls over your captured data — drawn from the same registry the dashboard and the MCP server consume — never from guessing at your traffic.
You hold the pen
04Reads flow at your role. Anything that changes state stops and shows you the exact payload first — an inline Confirm on Telegram, an action card elsewhere.
Autonomy with a
Every gate is re-checked at execution time, server-side — the model can neither grant itself a role nor press its own Confirm button.
| You ask it to… | What actually happens | Enforced by |
|---|---|---|
| Read traffic | Owner-scoped by default: it inspects your own devices' captures. Reading wider requires the devices-view capability on your real role. | Row-level security plus your role — the same checks as the dashboard. |
| Change something | It stops and shows the exact change — the script body, the settings diff, the delete scope — and waits for your explicit approval. | A single-use, server-side confirmation the model cannot forge or replay. |
| Do something admin-grade | Admin-only tools re-resolve your current role at the moment of execution — not when you asked, and not from the chat context. | Capability and admin gates re-applied at run time, defense in depth. |
| Touch the database directly | It can't. Raw database and broadcast primitives are excluded from the free-text model entirely — no dashboard screen grants raw SQL, so neither does your mate. | A code-level denylist between the model and the tool registry. |
| Handle a secret | Captured tokens and cookies are treated as secrets in its answers, and provider API keys are referenced by name only — the value never sits in chat-readable settings. | The encrypted vault behind one audited decrypt boundary. |
| Anything at all | Every write, every denial, and every error is recorded with the surface, your role, and whether a real human tap approved it. | The platform audit trail — the same one the dashboard tails live. |
Things people
Each ask maps to a real, bounded tool — not a fuzzy summary of rows it never read.
“How does this app's login flow work?”
It deep-inspects your captured traffic for that host — the auth calls, token refresh, required headers, payload shapes — and hands back repro code with credentials treated as secrets.
“What has my iPhone been doing for the last hour?”
A bounded aggregation answers with top hosts and request counts — never a raw scan of your rows — then drills into the noisy host when you ask it to.
“Clear the noise from that analytics host”
A targeted, filtered delete — and because it mutates your data, it first shows the exact scope it would remove and waits for your confirmation.
The questions sceptics
Can it act without asking me?
Reads run freely at your role. Every write stops for an explicit confirmation — and even if you auto-approve a tool for a thread, destructive and admin-grade tools always still ask.
Does it see my whole database?
No. Raw database primitives are excluded from the model entirely, and every tool it can call runs through the same row-level security and role checks as the dashboard.
What does it remember, and can I erase it?
Personal memory is owner-scoped rows you can list, search, and delete — say 'forget that' or send /forget on Telegram to wipe it. The background memory writer can be switched off for your account.
Can my private details leak into the shared team brain?
The team store is a separate table with no user column at all, a deterministic code filter rejects names, emails, IPs, paths and token-shaped strings before anything is stored, and every candidate waits in a review queue before it becomes recallable.
Which model answers — and can we run our own?
Anthropic Claude by default, configurable per surface. Admins can point the fleet at any OpenAI-compatible endpoint or a local model — the key stays in the encrypted vault — and on non-frontier providers the tool surface automatically narrows to a read-only core.
Is there a record of what it did?
Yes — every write, denial, and error lands in the platform audit trail with the surface it came from, the role that ran it, and whether a real human tap confirmed it.
Say hi to
Apri busymate.ai, o scrivi a @busybrobot su Telegram e collega il tuo account.