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CHATGPT AND GEMINI: A JOB MENU

Model arguments waste stand-ups. Tick the jobs on your plate this week and get a plain recommendation, a short workflow for each, and the cautions that matter. A switchboard rather than a verdict on who is winning.

How it works

  1. Tick the jobs on your plate this week.
  2. Add any constraints that decide it for you.
  3. Read the menu, assign each job to a person as well as a tool.
  4. Anything a customer will read goes through a human sign-off before it ships.

Build this week AI job menu

Jobs on your plate
Constraints

These override the default recommendation, which is what constraints are for.

Nothing you enter here leaves your browser. Close the page and it is gone.

Your job menu will appear here.

Assign a person to each row. Before anything customer-facing ships, run it through the sign-off checklist. Recommendations here are starting points and get revisited as the products change, so treat a strong preference as this quarter view rather than a permanent one.

Orientation only. Product features, data handling and enterprise controls change often. Follow your own AI policy, and confirm what your licences allow before putting company data into either tool. Nothing you enter is sent anywhere or stored.

Goes well with

PackFree
AI prompt patterns for marketing work

Ten reusable prompt structures with fill-in slots.

Get the pack

If you would rather have this done with you than to you, this is the work I do. See services

Assign the job, not the tool

The useful question is not which model is better. It is which of these two your team already has, where the files live, and whether a person has been named to do the job at all. Most weeks the answer is either, and the decision that actually matters is who owns the output and who signs it off. Recommendations here are starting points, revisited as the products change rather than treated as permanent.

The cautions are the point

Arithmetic on a pasted table, invented citations under pressure, and Australian spelling drifting back to American in anything long. Those three cost more time than any model preference, and none of them announce themselves. Anything a customer will read should go through the sign-off checklist before it ships, whichever tool produced it.

COMMON QUESTIONS

Is this a prompt library?

No. The workflows are three or four steps and job-shaped. Prompt patterns live in the prompt pack if you want the structural version.

Will you declare a winner?

No. The recommendations are job-specific and constraint-specific, and they get revisited as both products change.

Can I put customer data into either?

Only under whatever enterprise agreement your business actually holds, and never into a personal account. If you are unsure which account you are signed into, that is your answer.

What if my organisation has standardised on one?

Tick that constraint and the menu stops arguing with your procurement decision, which is usually the right call anyway.