The Video Assistant · Lesson 10 — The Second Look ← Course

The second look — reflection and self-correction.

The best move in the loop is often noticing a result can't be trusted — and not building on it.

Not every step goes cleanly. A tool returns nothing useful, a reading is ambiguous, an early guess turns out wrong. What separates a robust agent from a brittle one is what it does next: does it charge ahead on a shaky result, or take a second look?

Reflection is the agent examining its own last step — is this reliable enough to build on? — and, when it is not, changing course: retry, reach for a different tool, or revise an earlier conclusion. One doubtful reading, accepted without question, can sink an entire verdict.

Same shaky reading, two agents. Flip between them and watch where the ruling ends up.

The broadcast angle came back unclear — now what?

Doubt the weak step, don't build on it.

Both agents got the same unreliable reading. One treated it as fact and ruled on sand; the other noticed the doubt, refused to conclude, and reached for a better instrument. The extra reflect step — questioning its own last result — is what turned a wrong call into a right one.

Self-correction is not second-guessing everything; it is recognising when a result is weak, a tool failed, or an assumption broke, and adjusting before it compounds. An agent that never looks twice fails the moment a single step misleads it.

Next: the final whistle →
Go deeper — how agents catch their own mistakes optional

Reflection as an explicit step

Many agents add a deliberate “critique” turn: after acting, the model is prompted to judge its own result before continuing — did that work? is it enough? what is missing? Making reflection its own step, rather than hoping it happens, is a common way to make agents more reliable.

Recovering from tool failures

Tools error, time out, or return junk. A sturdy agent treats a failed call as information — retry once, try an alternative tool, or report that it could not verify — instead of pretending the empty result was an answer.

Revising earlier conclusions

The hardest self-correction is undoing a step you already took. If later evidence contradicts an earlier call, a good agent updates it rather than defending it — the same humility a review demands when fresh footage overturns a first impression.

Knowing what a result is worth

Reflection leans on calibration: sensing that “inconclusive, obscured angle” is weak while “a clear margin on the calibrated line” is strong. An agent that treats every observation as equally solid cannot tell when to look again.