A few weeks ago, we called out zombie agents: AI competitive intelligence workflows that look polished but are built on bad data and zero competitive context.
We expected debate. What we got instead was recognition.
Practitioners, PMMs, and GTM leaders finishing our sentences for us:
"AI will make bad data look good, but it won't make it true."
"A general-purpose LLM will never be as good as something purpose-built."
"Reps are skipping the good intel entirely for watered-down ChatGPT answers."
From LinkedIn comments to customer conversations, the signal is clear: generic LLMs get you some of the way there. But some of the way isn't enough in a competitive deal.
Before your next AI build, ask what data it's trained on, what context it has, and how you'll know the outputs are accurate.
