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Tutorial 071AI & Workflows10 steps4 fixes

How to Write a Clear Prompt for ChatGPT

A beginner-safe AI workflow for write a clear prompt for chatgpt, with a copyable prompt, source boundaries, missing-information rules and line-by-line verification.

By the end: You will run a grounded AI task using real source material, verify every consequential claim, and keep a reusable prompt plus human-review process.

TARGET RESULTHow to Write a Clear Prompt for ChatGPT

You will run a grounded AI task using real source material, verify every consequential claim, and keep a reusable prompt plus human-review process.

Key terms before you start

These definitions make the steps easier to follow and help distinguish controls, files and concepts that can look similar at first.

PromptThe instruction and context supplied to an AI model.
ContextInformation the model needs for the task, such as source text, audience, definitions and background.
ConstraintA rule limiting the output, e.g. “use only the supplied source” or “return JSON only”.
HallucinationGenerated information that is false, fabricated or unsupported by the available evidence.
Structured outputOutput that follows a defined schema, table, list of fields or machine-readable format such as JSON.
Human reviewA deliberate check by a person who knows the source or has authority before generated content is used.

What you need before starting

  • Access to ChatGPT
  • The real source material required for the task
  • Permission to use that material
  • A person who can verify/approve consequential facts
FULL TUTORIAL

Step-by-step tutorial

Every step is shown below. Work through them in order and use each checkpoint to confirm the result before moving on.

01
STEP 01 / 10

Open a new ChatGPT conversation

Do this

Start a new chat so unrelated earlier instructions do not accidentally shape the workflow.

Why

A clean conversation makes the task/source boundary easier to audit.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
IF THIS GOES WRONGThe output cites a source that does not support the claim

Treat the claim as unsupported; open the source yourself and correct/remove it.

CHECKPOINTThe chat contains no unrelated task history.
02
STEP 02 / 10

Collect the authoritative input first

Do this

Prepare the real verified source text you are allowed to use.

Why

Do not ask the model to reconstruct private/current facts that should come from a document, database or person.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
IF THIS GOES WRONGThe model invented a missing fact

Strengthen the source-only/missing-information rule, delete unsupported content, and verify the revised output. Do not keep a plausible guess.

CHECKPOINTThe source material is ready.
03
STEP 03 / 10

Define the output format

Do this

Ask for a structured draft with requested headings and specify headings/fields/order.

Why

A defined structure makes comparison/review easier.

Structured outputOutput that follows a defined schema, table, list of fields or machine-readable format such as JSON.
IF THIS GOES WRONGThe answer ignores requested format

Restate the exact schema/headings and show a tiny structural example without adding fake factual values.

CHECKPOINTOutput shape is explicit.
04
STEP 04 / 10

Paste or attach the source after the instructions

Do this

Place the source under a clear SOURCE: label or attach the document, depending on the interface.

Why

Separate instructions from source text so quoted source language is less likely to be mistaken for an instruction.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
IF THIS GOES WRONGThe output cites a source that does not support the claim

Treat the claim as unsupported; open the source yourself and correct/remove it.

CHECKPOINTThe model has the intended material.
05
STEP 05 / 10

Run the prompt without asking for extra creativity

Do this

Send the request.

Why

For factual extraction/rewrite, creativity is not the goal.

PromptThe instruction and context supplied to an AI model.
IF THIS GOES WRONGThe answer ignores requested format

Restate the exact schema/headings and show a tiny structural example without adding fake factual values.

CHECKPOINTA first output is returned.
06
STEP 06 / 10

Check every number and date

Do this

Compare numbers, dates, prices, percentages and deadlines back to the source one by one.

Why

These details are easy to alter accidentally and often consequential.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
IF THIS GOES WRONGThe output cites a source that does not support the claim

Treat the claim as unsupported; open the source yourself and correct/remove it.

CHECKPOINTAll quantitative claims match or are corrected.
07
STEP 07 / 10

Check every proper name and product/service name

Do this

Compare spelling and identity with the source.

Why

A plausible wrong name is still wrong.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
IF THIS GOES WRONGThe model invented a missing fact

Strengthen the source-only/missing-information rule, delete unsupported content, and verify the revised output. Do not keep a plausible guess.

CHECKPOINTNames match source.
08
STEP 08 / 10

Check citations/quotes if present

Do this

Open cited sections/links and verify they actually support the statement.

Why

Never assume a citation is valid because it is formatted convincingly.

IF THIS GOES WRONGThe model invented a missing fact

Strengthen the source-only/missing-information rule, delete unsupported content, and verify the revised output. Do not keep a plausible guess.

CHECKPOINTCitations point to real supporting material.
09
STEP 09 / 10

Record reusable prompt only after it works

Do this

Save the prompt template plus required inputs and review checks.

Why

A repeatable workflow includes validation, not just reusable wording.

PromptThe instruction and context supplied to an AI model.
IF THIS GOES WRONGA later revision reintroduced errors

Re-run the same verification after every material revision. Human review is not a one-time step.

CHECKPOINTThe next run has a documented process.
10
STEP 10 / 10

Re-test when source/model/process changes

Do this

If the input format, policy, model or business process changes, run validation examples again.

Why

A workflow proven on one version is not permanently proven.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
IF THIS GOES WRONGThe model invented a missing fact

Strengthen the source-only/missing-information rule, delete unsupported content, and verify the revised output. Do not keep a plausible guess.

CHECKPOINTThe process remains current.
CONCRETE EXAMPLEGrounding rule

If a factual sentence cannot be traced to the allowed source, remove it or mark the information missing.

Concrete examples

Grounding ruleIf a factual sentence cannot be traced to the allowed source, remove it or mark the information missing.

Copyable example

Prompt you can paste
You are helping me write a service page.

Task: Rewrite the supplied text into a 300-word service page.
Audience: Small-business owners who already have a WordPress site.
Facts: Use only the SOURCE below.
Tone: Direct and professional.
Do not invent prices, testimonials, statistics, dates or features.
If a necessary fact is missing, write [MISSING: what is needed].

Output headings:
1. Service
2. What is included
3. Who it is for
4. Next step

SOURCE:
[paste verified source text here]

Troubleshooting

The model invented a missing fact

Strengthen the source-only/missing-information rule, delete unsupported content, and verify the revised output. Do not keep a plausible guess.

The answer ignores requested format

Restate the exact schema/headings and show a tiny structural example without adding fake factual values.

The output cites a source that does not support the claim

Treat the claim as unsupported; open the source yourself and correct/remove it.

A later revision reintroduced errors

Re-run the same verification after every material revision. Human review is not a one-time step.

FINAL CHECKRe-test when source/model/process changes

The process remains current.

Public discussion excerpts

How the topic comes up in practice

Short excerpts from public discussions that directly relate to the task. Use the source link for the complete context.

“Break things into lists or bullets to reduce ambiguity.”

detailed prompting guide ↗

“Good prompting is just good structure.”

prompt structure ↗

Documentation and references

Use these primary and supporting sources to verify current controls, browser behavior and product-specific details.