Why does fixing AI mistakes take longer than doing it myself?
AI tools generate output so quickly that reviewing and correcting their errors requires hours of meticulous human work. This constant debugging in complex tasks and basic data summaries negates the intended time savings and prevents professionals from relying on the automation.
What the numbers show
Counted from the threads quoted below. How we count
- People have been saying this in most months since October 2025.
- This comes up 47.0× more often in Hacker News than across the site as a whole.
What people tried
Every workaround mentioned in the threads below. We haven’t tested any of them — and nobody here is claiming they worked.
Found another way around this?
Share your steps and trade-offs so fellow engineers don't have to reinvent the wheel. No account required.
- 1manually reviewing and checking actual resultsDid this help you?
- 2using AI only for basic general summariesDid this help you?
- 3bringing back human staff to review outputsDid this help you?
- 4Doing the calculations manuallyDid this help you?
- 5Double-checking AI outputs or restricting usage to senior staffDid this help you?
- 6Contacting local news organizations or attorneys to report defamationDid this help you?
- 7Filing feedback reports directly with tech platforms to eventually stop the hallucinationsDid this help you?
- 8Tightening trust signals, reviews, and cross-platform consistency to change the model's pattern matchingDid this help you?
- 9Venting frustration to coworkersDid this help you?
- 10Switching between multiple third-party companiesDid this help you?
- 11Specifying strict AI policies and allowed uses directly in contractsDid this help you?
- 12Sending unedited work back to make vendors justify their billed hoursDid this help you?
- 13Spending twice as long manually checking and reviewing AI outputDid this help you?
- 14Limiting AI use strictly to basic knowledge assistance or general file searchingDid this help you?
- 15Building custom templates and FAQ inputs to guide the modelsDid this help you?
- 16Stepping in and fixing the code manually after spending hours trying to get the AI to do itDid this help you?
- 17Taking time to understand the generated code during AI-assisted work to be able to debug and fix it laterDid this help you?
- 18refusing to give out technical information or pretending not to know anythingDid this help you?
- 19fixing what can be fixed and leaving strange parts as they areDid this help you?
- 20doing the code review and taking care of the production transition despite feeling unvaluedDid this help you?
- 21Using external tools like Claude or ChatGPT via APIs, custom scripts, or Model Context Protocols (MCP) instead of native platform AI featuresDid this help you?
- 22Writing custom-coded actions using enterprise-tier bring-your-own-LLM API keysDid this help you?
- 23Doing the research and workflow building manually rather than relying on native AI assistantsDid this help you?
- 24Recreating the documents from scratch while pretending the AI draft makes sense.Did this help you?
- 25Limiting AI usage to deterministic, repeatable tasks with clear inputs and predictable outputsDid this help you?
- 26Asking whether the tool is actually replacing work or just generating more reading materialDid this help you?
- 27Looking for work elsewhereDid this help you?
- 28Talking to the boss about mandatesDid this help you?
- 29Figuring out what is BS versus valid through lengthy discussions and manual cleanupDid this help you?
- 30Having AI do small chunks with iterative feedback instead of running wildDid this help you?
- 31Writing detailed specs into Markdown files before letting agents developDid this help you?
- 32Using LLMs only for boilerplate code, tests, prototypes, or code you don't care about while writing important code by handDid this help you?
- 33Setting up custom agent harnesses, linters, or separate model reviews (like having a different model family review code)Did this help you?
- 34Adding a handwritten note to the worksheet acknowledging errors and unfinished activitiesDid this help you?
- 35Sending a direct app message or email to the teacherDid this help you?
- 36Going through AI-generated content with a fine-toothed comb to manually correct errors before useDid this help you?
- 37head to the standards to verify what it’s saying if it something I didn’t already knowDid this help you?
In their words
Unedited, grouped by where they were said, most upvoted first within each place, each linked to the thread it came from.
“It produces so much, it takes humans weeks to find the problems created in an hour long session.”source ↗
“If it’s not 100% right, I’d end up spending just as much time finding the error especially in complex workings.”source ↗
“We started using AI at the hospital I work for and it’s still making mistakes summarizing basic data from the doctors’ notes and misses important information.”source ↗
“I ask AI help in calculating some financial report ratio but they keep halucinating. Stupid AI cannot even properly scrape and calculate.”source ↗
“Please stop sending me 30 pages AI generated SOPs for me to "just review". I need to recreate them after reading them all and justifying why your draft makes no sense while pretending it is good but "just not quite there".”source ↗
“I’ve had to fix all of AI’s fuckups, so my workload has increased by about 37%”source ↗
“At that moment, I thought about telling him that I would think about it, but I realized that this was just a politically correct way of telling me that they had changed the site's code and, more importantly, that they no longer really needed me.”source ↗
“So I told him that I understood, but that today I have no context, no explanation. I can see the code and I can quickly see the feature, but I have no brief and no explanation for certain things that remain strange.”source ↗
“He dared to give me the Markdown files that Claude Code used to write the code, which are files already generated by Claude Code.”source ↗
“I honestly don’t know how to respond. It’s a client I’ve had for 15 years that is involved in the design industry. You would think they have respect for the process and not bring me and the designer into it after the tool has already been built with AI. I’m expected to support that whole process now?”source ↗
“Gemini is defaming and lying about my business. How do you even combat this?”source ↗
“So yesterday someone commented on one of my ads that Gemini said my website is a scam, so I tried it, and guess what, it did straight up say my business is a scam based on customer feedback that it literally 100% invented and hallucinated.”source ↗
“Oh my lanta, I went through this with ChatGPT for MONTHS!! I still do!! The amount of scam/fake/whatever claims I got in the past were wild because it either got reviews and feedback from another business, or it straight up assumed without confirming anything.”source ↗
“Kind of shocked. What the hell are we paying for? He literally didn’t even proofread the AI results he sent us.”source ↗
“The AI transcription/summarization is mediocre at best compared to point solutions in that space. It's also in the small things, like why is there a creepy male voice that says "this meeting is being recorded" in every meeting out loud?”source ↗
“In the workflow automation, you have an AI editor that allows you to create your flow with AI. More often than not, it just says that it can do something and then proceeds to completely break the flow to then later reply: "you're right, this is not possible".”source ↗
“We're in discussions with our Hubspot AE to increase our seat count because of company expansion and they just added "$2,000 AI credits" to the quote, out of the blue.”source ↗
“We’ve had 2 clients express frustration with Hubspot’s AI - same with Notion, Riverside and other tools. All these legacy tools are trying to be Swiss Army wrappers of LLMs and it’s getting super messy.”source ↗
“Charging for AI credits before the basics feel reliable would drive me mad, because at that point you’re paying extra to test their unfinished feature.”source ↗
“We hit the same wall with HubSpot's native AI and eventually stopped expecting it to do the heavy lifting inside the platform.”source ↗
“My challenge is that my 3rd grader brought home a packet to do over the weekend that *looks* great, but a) asks first a LOT of detailed coloring (like, 30+ min per page, 4 pages) that has no clear educational value ... and b) has two or more errors on each page-a maze with no exit, misspelled word search words, labels that don’t point where they should.”source ↗
“As a teacher whose school uses AI in our workflow, I would personally appreciate being called out on that. I take pride in the quality of my lessons, and even though we use AI often, it does not mean we should hand it over to our students without review.”source ↗
“I use AI to create flash cards— and I still have to go through with a fine toothed comb and correct it. Mire is not always better. Absolutely no use for it for emails, important things.”source ↗
“It's exhausting to read.”source ↗
“Now I spend nearly the whole workday slogging through convoluted code riddled with footguns.”source ↗
“It takes 5x longer to review Claude merge requests and I barely understand what I approve.”source ↗
“Each day I drift further from understanding as I shovel the same <censored> into the codebase.”source ↗
“Basically all of the code I see is over-engineered BS that will almost always cause defects or introduces a ton of technical debt. In my opinion they are probably just producing negative work where in the next sprint Im usually the one who's assigned to fix that stuff”source ↗
“I have had occasions where I ask my coworkers how their code works (bec AI added overengineered bs), and they literally can't explain it at all.”source ↗
“Im getting pretty dishearted, im literally the lowest ranking (in level) developer on the team yet doing the most work with the best quality (business analysts on the team have literally called this out), but im still paid the least & have to deal with the most BS.”source ↗
“The problem for software factory is, that up to a certain point, you'll encounter some nasty bugs that are really important for your features, but you can't ship it because while the AI deals with the 90%, turns out that last remaining 10% are the one that make or break your project. And you need to deal with that remaining 10%. But how can you deal with the remaining 10% if you don't understand that 90% or majority of it?”source ↗
“Even with strict roles within the agent and giving it plenty of resources and examples, it’s still creates results that are simply not true and reliable.”source ↗
“In reality it only has about a 75% success rate which means we have to spend twice as long going over everything because we can't trust it.”source ↗
“we’ve spent infinitely more time hammering the models to spit out call notes, deal summaries, pipeline summaries, etc, than all of our users collectively have spent reading those things.”source ↗
Where this came up
People with this problem also raised
- 7Where can I find real-world company AI policies and best practices?
- 44How to deal with all the low effort AI content online
- 3School administration replacing student art with AI posters
- 16How to push back against forced AI tools at work
- 12Students forgetting to delete AI chat prompts from school essays
- 5Why is IT support AI so bad at routing tickets?