Anyone Can Build an AI Agent Today

24 Oct 2026 · 1 min
0:42

In this segment, Jason M. Lemkin explains how any organization can quickly deploy an AI agent for go‑to‑market (GTM) activities by starting with a single, low‑risk integration and then expanding its scope over time. He recommends beginning with inbound interactions using a tool like Prospector, connecting the agent via a simple integration (e.g., RepLitterLovable), and observing how the agent improves its responses as it processes more data. After the first week, the team can progressively add outbound outreach, renewal management, and support functions, ultimately consolidating all GTM touchpoints into a single, bird’s‑eye view dashboard. The speaker emphasizes the practical, step‑by‑step approach, the value of incremental learning for the agent, and the strategic advantage of a unified GTM perspective.

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TranscriptAuto-generated · 1 min

  1. I truly believe anyone could do this today. If you don't have an agent already, you could pull up RepLitterLovable, hook in, you know, one of those tools in each of those places, just pick one thing. And the nice thing is like the more you use something like this and hook up an agent to do this, which is you can get a better view and the agent will actually get better on how to answer these things, right? So the first week I used Prospector, I only hooked up inbound for the first weekend. And that's to say like, you might not even wanna hook up all your surfaces at one point. You could just say, hey, week 1, we're gonna do inbound. Week 2 or maybe week 4, we'll add outbound and then we'll add renewals and support so that eventually everything's in one place and you have this bird's eye view of everything going on in go-to-market.

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