AI Agent Pricing Shock: Almost Rage Quitting! #shorts

16 Apr 2026 · 1 min
0:45

A Clay user's AI agent recommended an unnecessary upgrade after a price increase, claiming insufficient credits when the real problem was outdated training data. Jason M. Lemkin explains the mistake: Clay never retrained the agent with new pricing docs, a common failure that leaves customers frustrated and making worse decisions.

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