ChatGPT Tips, Tricks and Prompts

Clear All Except Specific Message

Clears everything other than the target response

Clear All Except Specific Message and Make Print Ready

Clears everything other than the target response and makes print ready

Clear All Except Specific Message (reverse index)

Clears everything other than target response. Starts the count from the last message and goes backwards.

Clear All Except Specific Message (reverse index) and Print Ready

Clears everything other than target response and makes print ready. Starts the count from the last message and goes backwards.

Print Full Chat

Allows printing of the entire document, not just the viewport

Reset Context - Lite [prompt only]

Use when LLM is stuck giving the same images / responses on repeat

Reset Context - Nuke [prompt only]

Strong Reset. Keeps your expertise level but clears stuck concepts.

Truly Scorch persistent recurrence [prompt+]

The only step to truly reset the LLM's context (spoiler alert: you kind of can't)

Deep Think Mode [prompt only]

Raise the processing cap and more aggressive verification

Confirm Saved Data Fidelity [prompt only]

ChatGPT can prioritize local chat info over saved state. This fixes the authority

How Often Is ChatGPT Inaccurate?

This page gives a practical, honest answer to a common question: how often should you expect incorrect or misleading information when using ChatGPT?

The goal is not to undermine trust, but to place it correctly.

High-Level Summary

ChatGPT is often correct, sometimes subtly wrong, and occasionally very wrong. The most dangerous errors are not obvious mistakes, but confident overstatements about limits, guarantees, or internal behavior.

Rough Accuracy Bands

About 60 to 70 percent

High confidence, low error

These responses are typically accurate and reliable.

Programming syntax and common libraries
Basic math and logic
Well-documented technical concepts
Concrete transformation tasks

Errors here tend to be small and easy to spot.

About 20 to 30 percent

Mostly correct, but subtly misleading

This is the most important category to watch closely.

System behavior explanations
Architecture-level descriptions
Capabilities and limitations
Statements involving absolutes or guarantees

Answers here often sound authoritative, but may omit critical caveats or blur important distinctions.

About 5 to 10 percent

Clearly wrong or fabricated

These are outright failures.

Undocumented internal mechanisms
Precise limits or guarantees not publicly defined
Obscure or highly recent information

These errors are less common, but more damaging if not challenged.

The Pattern That Causes Trust Issues

Most frustration does not come from obvious mistakes. It comes from answers that:

Sound confident
Are partially true
Later require narrowing or qualification

When an answer is stated broadly and later defended using internal distinctions, it feels dishonest, even if the narrower claim is technically defensible.

The Most Honest Mental Model

Treat ChatGPT like a very fast, very articulate junior engineer with incomplete visibility into its own internals.

It excels at synthesis, explanation, and pattern recognition. It struggles with absolute guarantees, undocumented boundaries, and statements about what is or is not possible.

Practical Rule of Thumb

The more an answer removes your agency or claims impossibility, the more skepticism it deserves.

ChatGPT is best used as a collaborator, not an authority.