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Tutorial 080AI & Workflows10 steps4 fixes

How to Use AI to Create a First Draft and Keep Human Review

A beginner-safe AI workflow for use ai to create a first draft and keep human review, 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 Use AI to Create a First Draft and Keep Human Review

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

Real-world notes from public discussions

These are tied to public discussions, not invented case studies. Open the source to read the full thread and surrounding replies.

r/PromptEngineering — split complex work into stagesOpen discussion ↗

A common production pattern is prompt chaining: extract/analyze first, verify intermediate output, then draft or act in a later step instead of demanding everything in one giant prompt.

How it changes this tutorial: Complex AI tutorials separate extraction, checking and final drafting/action.
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 approved facts/content brief 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.

Human reviewA deliberate check by a person who knows the source or has authority before generated content is used.
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 clearly marked DRAFT 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

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.
05
STEP 05 / 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.
06
STEP 06 / 10

Keep DRAFT label until approval

Do this

Do not remove the marker during AI revisions.

Why

This visually reduces accidental sending/publishing.

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.

CHECKPOINTCandidate remains clearly non-final.
07
STEP 07 / 10

Have the factual owner approve

Do this

The person responsible for hours/communications checks it.

Why

Human review should have actual authority/knowledge.

Human reviewA deliberate check by a person who knows the source or has authority before generated content is used.
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.

CHECKPOINTApproval is explicit.
08
STEP 08 / 10

Create/send from the real communications tool only after approval

Do this

Copy approved text into email/CMS; re-check recipient/date/links.

Why

AI chat is not the publication system.

ContextInformation the model needs for the task, such as source text, audience, definitions and background.
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.

CHECKPOINTFinal channel contains approved version.
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
DRAFT ONLY.
Draft a customer email from APPROVED FACTS below.
Audience: existing customers.
Purpose: announce changed opening time.
Do not add reasons, apologies, dates or promises unless stated.
Keep the word DRAFT at the top.

APPROVED FACTS:
- New opening time: 09:00
- Effective date: 5 September
- Contact phone: [real number]

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.

How to Build a Repeatable AI Workflow for a Small Business ↗How to Give AI Reference Material Before Asking for a Draft ↗How to Ask AI to Flag Missing Information ↗How to Use AI to Rewrite Text for a Different Audience ↗

Documentation and references

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

← How to Use AI to Compare Options With Explicit CriteriaHow to Build a Repeatable AI Workflow for a Small Business →