EPISODE · Apr 1, 2026 · 37 MIN
Episode 4: When to Say No to an Agent (with Justin Parnell, Justin GPT)
from AI In Motion · host Clarity & Motion
Only 6% of people claiming to build AI agents are actually building AI agents. And that might be generous. Megan Ratcliff sits down with Justin Parnell, founder of Justin GPT, to separate what's real from what's noise. Justin walks through the agents he builds for GTM teams every day, shares the suitability matrix he uses to decide when a workflow actually deserves automation, and explains why he walked away from 8 of 12 agent requests from a single client. They also get into the leapfrog moment happening for non-technical builders with tools like Claude Cowork, why the "I replaced my team with prompts" crowd is missing the point, and what's coming next with reinforcement learning models.
What this episode covers
Only 6% of people claiming to build AI agents are actually building AI agents. And that might be generous. Megan Ratcliff sits down with Justin Parnell, founder of Justin GPT, to separate what's real from what's noise. Justin walks through the agents he builds for GTM teams every day, shares the suitability matrix he uses to decide when a workflow actually deserves automation, and explains why he walked away from 8 of 12 agent requests from a single client. They also get into the leapfrog moment happening for non-technical builders with tools like Claude Cowork, why the "I replaced my team with prompts" crowd is missing the point, and what's coming next with reinforcement learning models.
NOW PLAYING
Episode 4: When to Say No to an Agent (with Justin Parnell, Justin GPT)
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.