Cockpit.
Cockpit.
I work a sales patch by day. So I built the intelligence layer the job should have come with.
The day job is business development for — a phone, a patch, a number to hit. The standard tooling tells you who to call. It does not tell you what is true about them, what is changing in their world, or what you would say in the first thirty seconds that earns the next five minutes. So I built that part myself, on my own stack, on my own time.
The core is a two-stage reasoning engine. Stage one gathers evidence about an account — filings, signals, hiring, tech estate, market movement — and refuses to hold anything it cannot source. Stage two synthesises strategy from that evidence: an eighteen-section dossier reasoning from business to strategy to operations to problems to opportunity, with the top play scored across nine dimensions. Every claim carries a link and a confidence tier — verified, strong, hypothesis, speculative. If the system is guessing, it says so in writing.
Around the engine sits the working surface: an “arm me for this person” generator that researches a target and drafts the full kit — call script, messages, follow-ups, battlecard, a personality read with its own falsifiers. A playbook matrix crossing eighteen personas with fifteen business problems, tagged by industry. Model routing keeps the economics sane: the small fast model classifies and retrieves, the mid model drafts, the deep model does synthesis — every call logged with its token cost.
Lately it grew two faster ways in and one that needs no hands at all. Quick Assist takes a single lead — pasted in, or read straight off the CRM record or professional profile you already have open by a browser extension I built to sit beside them — and returns the best-fit play, its positioning, and an opener in one step, no full dossier required. The extension is deliberately narrow by design: it acts only when you click it, reads only the company and title on the active record, holds no standing permission to roam, stores nothing, and never sends a person’s name anywhere. It’s installed and tuned to my own patch now, and it’s the part I reach for most — the whole engine, one click from the record already on screen. And a scheduled weekly run briefs itself — producing a fresh dossier and a ranked target list on its own each week, waiting for you when you sit down, still with nothing sent.
Then it stopped being only mine. I demoed it to the team, worked through the feedback, and shipped a shared version — role-gated, with each person’s work attributed under their own login — alongside a guided walkthrough so nobody needs me in the room. And the most interesting move is the most recent: the core engine is now exposed as a service — a gated, rate-limited endpoint other parts of the business can call from their own tooling, each caller on their own key, the reasoning method staying server-side. Built, deployed, and deliberately dark until it gets the internal sign-off it deserves. The same engine is already sketched as the brain behind a website concierge for inbound enquiries. What started as one person’s edge is turning into infrastructure — my intelligence, made callable.
The newest surface is not about one account at all. It reads the market — news across the industries we sell into and the keywords that matter in them — and for every item it asks one question: what does this mean for what we sell, and for the kinds of buyer we sell it to. What comes out each week is a market-and-industry intelligence dossier for the whole team: what moved, which of our profiles it touches, and the angle that follows from it. The team gets the reading done for them; the judgment still belongs to whoever picks up the phone.
The rules do not change for it. It reads public news and nothing privileged. It connects to no work system — every output is a document a person carries across by hand. Nothing goes outbound without a human reading it first. The system prepares; a person sends.
Two design rules hold the whole thing. It never sends anything — every output is prepared for a human to read, judge, and deliver; the system has no send button by design. And it never touches what it should not — no scrapers, no session automation, hard ceilings on every data source, every metered lookup logged. Intelligence, not automation. The judgment stays human.
Stage one gathers evidence on an account and refuses to hold anything it cannot source.
Stage two reasons from that evidence alone, from the business through strategy and operations to the opportunity, and this is the step routed to the deep model.
Every claim carries its link and a confidence tier, from verified to speculative, so when the system is guessing it says so in writing.
I built the extension to act only when clicked, read only the company and title on the open record, store nothing and never send a person’s name anywhere.
The top play arrives scored, with the kit to run it: call script, messages, follow-ups, a battlecard and a personality read with its own falsifiers.
The engine is also a gated, rate-limited endpoint with a key per caller and the method kept server-side, built and deployed and kept dark until it has internal sign-off.
Each week it reads public news across the industries we sell into and asks of every item what it means for what we sell and for the buyers we sell it to.
Every output is a document a person reads, judges and carries across by hand; the system prepares and a person sends.