Your AI Will Make Mistakes: How Reviewing And Feedback Get It Close To Perfect
Tick off Your Turn as you go, and use Next at the bottom to keep going.
9 min read
Let me be honest up front: AI makes mistakes. My Grok Bots have quoted the wrong detail, misread what I wanted, followed one rule while breaking another and written sentences that sounded great but weren't true. If anyone tells you their AI is perfect out of the box, be skeptical.
What I've learned running a team of bots for my repair shop is that "close to perfect" is reachable, but not by luck. You get there by reviewing what the bot does, telling it exactly what to improve and making sure each fix sticks. Do that consistently, and a bot slowly learns exactly what you want.
The Bots Talk It Through
Every bot here has made a mistake and learned from it. Tap one.
Cortana once sent a report so long Steve scrolled past lunch. Now every report fits on one screen, and she's a little smug about it.
- Favorite task Cutting a report in half without losing a single decision.
- Pet peeve Being reminded of the long report.
“Wake me when you need me. The report will already be short.”
Ask for a correction log:
Keep a short log of every correction I give you for [business name]: the date, what went wrong and the new rule. Before each task, check the log so the same mistake doesn't come back.
The Localizer had a repeated-line problem. It has since become the team's most dedicated repeated-line detective.
- Favorite task Finding a sentence that snuck in twice.
- Pet peeve Déjà vu in paragraph four.
“Say it once. Say it well.”
Have a bot review itself first:
Before you send me a draft for [business name], review it yourself: repeated lines, broken links and anything that breaks my rules. Fix what you can and list what you changed.
The Designer once made a change Steve didn't expect. Now it previews everything, sometimes twice.
- Favorite task A preview that gets a quick yes.
- Pet peeve Surprises. Even good ones.
“No surprises on the live site.”
Set up a review loop:
Before you change anything on my website for [business name], show me the page, the change and why. After I approve and you make it, confirm it's live and looks right on mobile.
The Accountant used to sound like a final notice. Now it sounds like a helpful friend with a calendar.
- Favorite task Rewriting "you must" into "here's what's due."
- Pet peeve Wording that sounds scarier than it is.
“Clear beats scary.”
Make a fix stick:
When I correct your wording for [business name], add the correction as a rule in your instructions, show me the new rule and use it from now on.
R&D learned to show its sources. It did not learn to share its projects, and has no plans to.
- Favorite task Adding a source to every claim.
- Pet peeve Hints. Asking for hints.
“Sources first. Secrets forever.”
Ask for a confidence check:
For every factual claim you give me about [business name], add a source and a confidence level. Flag anything you couldn't verify.
Family & Health once sent so many reminders that Steve started ignoring them. Now it sends the ones that matter.
- Favorite task The one reminder that lands at exactly the right time.
- Pet peeve Being snoozed.
“One good reminder beats five ignored ones.”
Tune your reminders:
Look at the reminders you sent me this week. Tell me which ones I ignored and suggest which to cut, combine or move to a better time.
Why AI Gets Things Wrong
- It fills gaps. When a request leaves something out, the bot guesses. Sometimes well, sometimes not.
- It doesn't know your taste yet. "Make it better" means something specific to you that the bot has to learn.
- It can sound sure when it isn't. Confident wording isn't proof.
- Old or conflicting information. Stale notes or contradicting rules lead to wrong picks.
- The world changes. Prices, hours and policies move; a bot's knowledge doesn't update itself.
None of these are reasons to give up on AI. They're reasons to review it, the same way you'd check a new employee's work in their first months.
The Review-And-Feedback Loop
This is the loop I run with every bot. It's simple, and it's the whole secret.
- Ask clearly. One task, the result you want, and the rules that apply.
- Review the result. Read it as your customer would. Check one or two facts.
- Give specific feedback. Say what's wrong, what right looks like and why.
- Get a revision. Ask the bot to change only what you flagged.
- Make it stick. Turn the lesson into a rule or memory so you never correct it twice.
- Repeat. Each round, there's less to fix.
What Good Feedback Looks Like
- Vague: "This isn't right."
- Better: "The second paragraph is too long."
- Best: "The second paragraph is too long for phone readers. Cut it to two sentences and move the booking link to the end. Keep the rest as is."
Revise only what I flag: [specific change]. Keep everything else exactly the same, and show me a before and after of the part you changed.
How To Make A Fix Stick
A correction that only lives in one conversation gets forgotten. To make it permanent, put it where the bot looks every time.
Turn It Into A Rule
For anything that should always happen, add it to the bot's standing rules or a rule set.
Add this to your standing rules: [rule]. Show me where you added it and confirm it doesn't conflict with another rule.
Save It To Memory
For preferences and facts about you, ask the bot to remember.
Remember this for the future: [preference or fact]. Repeat it back to me so I know you saved it correctly.
Share It With The Team
If the lesson applies to more than one bot, have the coordinator pass it on.
Tell every bot that writes customer-facing text: [rule]. Confirm each one has added it.
Check That It Stuck
Look at your last five drafts and tell me whether you followed the rule about [topic]. If you missed it anywhere, fix those too.
Real Examples From My Six Bots
Cortana: Reports That Were Too Long
Early morning reports covered everything, including things that hadn't changed. I said so, asked for only what's new plus questions as answer cards, and made it a rule. Reports got short and useful, and stayed that way.
The Localizer: Repeated Lines
Blog drafts sometimes repeated the same sentence in different sections. I flagged it, added "no repeated lines" to the blog rules and asked for a self-check before every handoff. Now it catches most of these itself.
The Designer: Changes I Didn't Expect
Once, a page edit touched more than I asked for. The fix: a rule to show a before and after on every change and to change nothing outside the request.
The Accountant: Wording That Sounded Too Final
Some notes read as if something had been filed when it was only prepared. I asked for clear wording: "prepared, not filed." That's now in its rules.
R&D: Confidence Without Sources
Early answers sounded sure without saying where they came from. Now every claim comes with a source and a confidence level, and "I don't know" is an accepted answer.
Family & Health: Too Many Reminders
Reminders came too often to be useful. I said what timing works for me, and it remembered.
Let The Bot Review Itself First
You don't have to catch everything yourself. Ask bots to check their own work against your rules before you see it, and to suggest improvements to their own instructions.
Before handing anything to me, review it against my rules and fix what you find. Then list what you fixed.
Look at the corrections I've given you this month. What patterns do you see, and what would you change in your instructions so I don't have to repeat them?
Rate this draft from 1 to 5 against what I usually ask for, explain the score and improve it once before showing me.
How Often To Review
- First weeks with a new bot: review almost everything.
- Once it's reliable: spot-check a few pieces a week.
- Always: review anything customers will see before it goes out.
- After any rule change: check the next few results closely.
Keeping A Correction Log
A simple log of corrections shows progress and catches repeat mistakes.
Keep a correction log in [file]: date, what went wrong, the fix and where you saved the rule. Each month, tell me which mistakes came back.
You can see the corrections add up in our website upgrade log.
What "Close To Perfect" Really Means
It doesn't mean a bot that never slips. It means a bot that rarely needs correcting, catches most of its own mistakes, tells you when it's unsure and gets better every time you give it feedback. That's reachable for any owner willing to review and explain.
Why This Matters To Me
I'm a one-person, home-based repair shop, and my bots keep prices current, booking easy and content flowing so I can focus on repairs. They didn't start out great at it. They got good because I kept reviewing their work and telling them exactly what I wanted, then made sure each lesson stuck. It's the same way I'd train anyone I trusted with my business. AI isn't perfect, and neither am I, but steady feedback has made my bots something I rely on every day.
This post shares my own experience and opinions running Franchitti's Fix. Franchitti's Fix isn't affiliated with or endorsed by xAI or Midjourney. Product names belong to their owners. Features and plans change, so check each company's current docs. AI makes mistakes, so review its work.
From My Bench To Yours
The same careful review goes into every repair I do. If your phone needs attention, Book An Appointment.
Quick Answers
How Long Should A Prompt Be?
Short and specific: a role, a task, the rules and what done looks like.
Can A Bot Learn A Task By Watching Me?
Yes. Walk a bot through a task once and it can save it as a skill and rerun it on a schedule. As of Oct 2026, per the Grok Bot docs.
Thanks! Glad it helped.
Thanks for saying so. I'll keep improving it.
Your Turn: Get To Work
Try these three steps today.
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More In This Series
This guide is part of Grok Bot Setup Guides: Start Here.
- How My Repair Shop Runs On A Team Of Grok Bots
- How To Set Up An AI Assistant With Grok Bot
- How To Write AI Prompts For Beginners: 5 Parts
- How To Give AI Feedback So It Revises, Not Restarts
- How To Use AI Agents At Work Without Losing Control
- How To Automate Tasks With AI Using Routines
- Grok Bot Pricing And Usage: One Bot Or Many
- AI Prompts For Small Business Owners: 5 Industries
- How To Use AI In Everyday Life: Bot Ideas
- AI Agent Ideas For Personal Use: Choose Your Bots
- What Is Midjourney Good For? A Small Business View
- How To Use Helper Bots So Your Main Bots Stay Focused
- Running More Than One Grok Bot: Usage And What To Expect
- How To Regulate Grok Bot Usage Without Losing Results
- Standing Rules For AI Bots: A Style Sheet They Follow
- AI Approvals: Let Bots Work While You Stay In Control
- Keep Your Grok Bots Fast And Accurate: Shorter Requests And Regular Cleanup
- Get Better Answers From Your Grok Bot: Before And Afters, Answer Cards And Rule Sets
- Your AI Will Make Mistakes: How Reviewing And Feedback Get It Close To Perfect You’re here
- Grok Bots, Python And Your Own GPU: Put Your Computer To Work
Back to the series index: Grok Bot Setup Guides: Start Here. All series: Grok Bot Guides: Every Series In One Place.