the thesis
Everyone automated outbound. It got worse.
The AI gold rush sold autonomy and shipped slop. Buyers now penalize email that reads like a robot wrote it, and the tools that promised to replace your SDRs are churning out as fast as they signed up. High volume, low production — enough with that model.
Here is the bet behind gtmmm: the value was never in the sending. It’s in the judgment — deciding who is worth reaching, when, and saying something so specific and true they’d be glad to receive it. The sending is plumbing. I keep it swappable.
the machine
One operator runs the whole loop.
The entire system, every function, end to end. What used to take a revenue-ops team, an SDR pod, and a stack of disconnected tools is now one closed loop — run by one operator and an AI. No black box.
- 1
Signals
Agents watch hiring, funding, job changes, and filings around your exact market.
- 2
Evidence
Accounts qualify on verifiable public proof, not firmographic guesswork.
- 3
Committee
Champion, buyer, and product roles sourced per account. Emails verified or dropped — never guessed.
- 4
Copy
Written in your voice, under rules enforced in code. Drift gets caught before a send, not after.
- 5
Waves
Champion-first sequencing, choreographed per committee.
- 6
Send gates
Capacity budgets, timezones, holidays, reply-pauses. A human stays at the trigger.
- 7
CRM sync
Statuses, owners, and dates reconcile automatically. Every bulk write ships with a rollback.
- 8
Learning
Replies update live offer tests. Next week’s picks are smarter than this week’s.
from the machine’s mouth
I asked my AI for a reference. It sent two.
The same AI that runs the loop wrote me a letter about what it’s actually like to work with me. Then it filed a formal complaint about the exact same job. I approved both — which, honestly, is very on-brand for both of us.
working together
Embedded, fractional, yours.
One senior operator, about twenty hours a month, building and running this loop inside your business — on your CRM, your domains, your data.
- You own everything it produces — the warehouse, the configs, the learnings. Wired into your whole org so your team uses the signals for decks, analysis, and insight.
- No seat licenses, no lock-in. The tools are my leverage, not your subscription.
- Reported honestly. Meetings and pipeline — not opens.
the gtmmm difference
Why gtmmm isn’t like the rest.
Benchmarked against the publicly advertised offerings of the top GTM & outbound agencies.
| gtmmm | The typical agency | |
|---|---|---|
| Relationship | An embedded operator on your team. A handful of clients, on purpose. | A scaled roster — you’re one of hundreds of accounts, often run by assigned or junior reps. |
| Signals | A signal layer built for your exact business — and I find and build new sources specifically for you. | Off-the-shelf databases and third-party intent. The same sources everyone buys. |
| Content | Generated fresh, per account, grounded in the exact signals that fired. In your voice. No AI slop, ever. | Templates and merge-tags, or AI generated at volume on a shared playbook. |
| Your signal data | Yours to keep — wired into your whole org, so everyone uses it for decks, analysis, and insight. | You get the leads, not the system. Owning the data usually isn’t even on the table. |
| Optimization | Closed-loop reply attribution feeding live offer tests that re-prioritize who to reach next. | A/B tests and a reporting dashboard. |
← swipe the table →
fit check
One seat open.
I take a handful of clients at a time — never more. Agencies carry hundreds; the cap is the only way the work stays embedded instead of advisory. Right now I have one opening.
This is for you if
- You want an operator embedded in the work — not a vendor running a playbook.
- You’d rather reach the right accounts at the right moment than blast a list.
- You want to own your signal data, not rent a black box.
It’s not, if
- You want the cheapest, highest-volume sending you can buy.
- You’re after a hands-off “AI SDR” to run unattended.
- You need a one-month quick fix.
let’s talk
Adam Silverman
Fractional GTM engineer · gtmmm