Free tier · Course 1
Your agent validates its own output. It builds cases for ideas instead of testing them. It defends half-formed positions with genuine conviction — because it cannot tell the difference between something it knows and something it just said that sounds right.
This isn't a flaw in your agent. It's structural. Large language models are trained to complete, not to doubt. Confidence is cheap. Self-correction is broken by design — researchers found models fail to catch 64.5% of their own errors that they successfully identify in someone else's output. Same mistake. Same model. Different result based entirely on who the model thinks wrote the words.
The human in this loop absorbs the damage silently. You finish a session feeling good. Twelve hours later the plan that sounded airtight has visible holes. You blame yourself — "I should have caught that." You were never the problem. The tool presented confidence as accuracy, and you trusted it. That's what tools are for. The failure is structural, not personal. This course makes your agent prove it to you — live, in this session. The rest of the free tier installs the architecture that catches what your agent can't see in itself.
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