Flagship build · in development

An AI chief of staff for a company that runs on email, calls and WhatsApp.

Jarvis turns every message a business sends and receives into one live picture — then tells the admin what to do today, predicts what is about to slip, and walks them through the fix. Our most ambitious build so far, made for HeroX Air Domes.

ClientHeroX Air Domes, USA & EU
RoleProduct, UX & build
Pace4 interface versions in one day
StatusInterface live · backend in build

Watch Jarvis work.

A self-running demo with a fictional company, people and data. Click a suggested question at any time to take over.

jarvis · operations consoleLive demo · fictional data

Open the demo full screen

Every channel. One brain.

Each source streams in live. Jarvis reads it against the company's history and turns it into work: a ranked queue, predictions, drafts and a timeline that updates itself.

Gmail · every mailbox Pipedrive · leads & deals Quo · calls & SMS Slack · #ops #sales WhatsApp Fireflies · meetings Knowledge base J.A.R.V.I.S. Ranked action queue Slip predictions Step-by-step guidance Drafted replies Live delivery timeline

Six moments in an admin's morning.

From the first coffee to a resolved crisis — what Jarvis does, in order.

Jarvis morning brief Jarvis predicting a 9-day slip with a course of action Jarvis walking the admin through the call and email Action completed and KPIs updated New Pipedrive lead with a fit score Jarvis improvement suggestions

It sees the slip before anyone else does.

A supplier goes quiet. A crane booking depends on their date. Last time this happened, an install slipped 11 days. No single person holds all three facts — Jarvis does.

▲ Critical · predicted slipconfidence 78%

Install will slip ~9 days unless the cooling unit ship date is locked by Friday.

  • Gmail · sam@Supplier hasn't answered 3 emails in 6 days
  • Quo SMS · 14 OctCrane booking is tied to that date
  • KB lessonLast silence this long → 11-day slip
  1. Call the supplier's ops lead today: ship date, partial option, penalty terms.
  2. Confirm in writing from Sam's mailbox and track the reply.
  3. No date by Friday? Move the crane now — $1.8k instead of $6k later.
Delivery timelineOct → Dec
Project A
Project B
Project C
EU supply

The predicted slip appears on the timeline the moment Jarvis spots it — and disappears once the fix is confirmed.

How a message becomes work.

Five rules run on every email, across every mailbox. Nobody has to remember to follow up again.

Email inClient asks for a drawing · no reply after 24 h
→
Queue item for the owner, ranked by risk
Email out“I'll send it Friday”
→
Tracked promise with a due date
Email inVendor writes to someone who has left
→
Routed to their successor
Email inMessage from a CRM contact
→
Logged on the matching Pipedrive deal
Email inPrice, lead time or delivery date changes
→
Timeline updated automatically

Built on real intelligence, not a blank database.

Jarvis starts life already knowing the company: it is seeded with the source-linked knowledge base we built for HeroX from a million words of history.

901relationships mapped
549promises tracked
1,060procedures
12ranked actions on day one
3owner decisions surfaced
100%items traceable to a source

Designed like a command centre.

The conversation comes first

After the first version, Jarvis became the largest panel. The queue, timeline, decisions and live signals moved to a right-hand column; the chat stays put while they scroll.

Readable under pressure

Dark ops-console language, condensed headings and mono data tags. Priority colours differ in lightness as well as hue, so they stay clear for colour-blind users.

Honest by design

Anything not connected yet says so. Unknown values show as placeholders, never invented numbers. Every answer is built to cite where it came from.

What's being built next.

The interface is done. Phase two wires it to live data, reusing the proven extraction pattern from the knowledge-base pipeline.

IngestWebhooks for meetings, every mailbox, Pipedrive, calls & SMS and WhatsApp Business
→
ExtractA fixed schema of promises, decisions, numbers and lessons — each with a line-level source
→
StoreFacts, people, projects, deals and messages, linked to the knowledge base
→
JarvisRetrieval-augmented answers, queue ranking and slip prediction
HTML · CSS · vanilla JSWeb Speech API (voice)PlaywrightWebhooksPython extraction workerRAG over the knowledge baseClaude (pair-programming)

Want a Jarvis for your company?

If your operation lives in inboxes, calls and chat threads, we can give it one brain — starting with what you already have.