Vibe Check: How autonomous is the agentic GTM stack?

Nehal Agrawal, a go-to-market engineer at Invigilo, joined us to show how she builds her own agents for GTM. Off-the-shelf tools like Clay and Apollo were too fragmented for Invigilo's niche verticals in construction, oil and gas, and manufacturing, so she built a custom orchestrator instead, and it pulled a 60% reply rate on post-event warm outreach over a typical 20%.

Topics covered:
- Why fragmented tools like Clay and Apollo did not fit niche verticals, and when it makes sense to build your own orchestrator
- The post-event outbound workflow: uploading a lead list, agent-drafted sequences, and a 60 percent reply rate that mostly landed after the third follow-up
- Why the agent drafts into Outlook but never sends on its own, and where human-in-the-loop belongs (cold versus warm, deal value, the nuances an agent still cannot codify)
- The harnesses and dedicated security agent she runs to keep agents from running amok or burning tokens
- Build versus buy for the GTM stack, and the pattern of teams building their own internal tools
- Agent-to-agent communication and the tools starting to visualize it
- A recap of AI Engineer World's Fair, including its first GTM track and the stealth startups that used it to come out

Resources:
- Invigilo: https://www.invigilo.ai/
- Nehal Agrawal: https://www.nehalag.com/
- AI Engineer (AIE): https://www.ai.engineer/