Who does your AI really work for?
I used to sell ads through real-time auctions. AI assistants now sit on the moment you decide what to buy. Here is who else wants in, and what to do about it.
Read the Field NoteCheetah Field Notes
What we learn while building and running GTM engines.
Practical writing for founders and lean teams. We cover the systems behind targeting, outbound, CRM operations, agents, and the context that keeps the work useful after a campaign launches.
Latest notes
Ideas for building better GTM systems.
GTM Engineer vs RevOps: Everybody Answering the Question Sells Into It
A year of job postings found nine in ten GTM engineer duties in RevOps engineer roles too. Who draws the line, what job counts miss, and what practitioners say.
Read the Field NoteJev for GTM: What It Does, Where It Fits, and What We Measured
Thirteen GTM workflows, six community demos and an 83-contact benchmark comparing Jev with six named models, with costs, limitations and a pilot plan.
Read the Field NoteYour AI agent is being sold to. We read 2,628 sales skills to prove it.
We read 2,628 skills in 126 public GTM libraries. 63% only talk, 34% act without declaring it, and some tell the agent to pitch the vendor.
Read the Field Note7 Best n8n Alternatives for GTM Teams in 2026
Seven n8n alternatives compared on the two axes that decide GTM cost: which layer of the stack each tool occupies, and what its meter charges for.
Read the Field NoteBest GTM Engineering Agencies in 2026: 63 Firms Analyzed
We compared 63 firms and 16 serious contenders by 90-day cost, founder burden, portability, evidence and month-three learning, not logos.
Read the Field NoteSignal Stacking for Outbound Sales: Find Non-Obvious GTM Intelligence
Learn how to combine job posts, product changes, traffic, maps, and other public data into testable GTM inferences, then deepen only the signals that work.
Read the Field NoteWhy positive outbound replies still get lost
A practical field note on reply routing, identity, context, ownership, and the operating system required after an outbound prospect says yes.
Read the Field NoteWritten from the operating seat
No content treadmill.
These notes come from client work, campaign reviews, and the systems we maintain. When we use a synthetic example, we label it. When a number comes from outside research, we link the source.
Cheetah is a managed GTM engineering partner. We orchestrate the tools a team already uses, while its campaign history, operating logic, and context stay with the company.
Explore the Systems Lab research directoryor see how a GTM Brain Sprint scopes one workflow.
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