# How to Fix Your Credit Using ChatGPT (The Exact Prompts)

**Channel:** Irvin Peña
**Source:** https://www.youtube.com/watch?v=Dxgc6zuaMt8
**Transcript page:** https://www.withtranscript.ai/video/Dxgc6zuaMt8

## Chapters

- 0:00 — What You Need Before Starting
- 3:03 — Mapping Errors and Verifying Facts
- 6:36 — Building Disputes for Late Payments
- 10:57 — Disputing Collections and Charge-Offs
- 14:56 — Final Tips for Responsible Use

## Transcript

**[0:00]:** Artificial intelligence is beating the credit bureaus and everyday people are using things like ChatGPT, Claude to clean their credit profiles, but only if you use the right prompts. In this video, I'm going to show you the exact prompts that we're using to clean up credit profiles and how you can implement this implement this for your credit so that you can ultimately boost your credit score and get it cleaned up and get those items removed. Now, there's two things that you're going to need. The first is the prompts which I'll be giving you in this video as we're going through it and then I've gone ahead and leaked the Google Doc down in the description so you can download it as well completely free. And the second thing that you're going to need is the freshest or newest copy of your credit report in order for any of this to work.

**[0:42]:** It doesn't matter how strong a prompt is because this is all about inputs and outputs, you need to have accurate data. I've also gone ahead and leaked the exact company that I typically recommend, the tool that I typically use with my clients to make sure that we're getting fresh data and so that we're seeing the items get removed in real time. You can also get that tool that's linked down in the description. So, now that we have those items, you can follow along. Again, you can download this and you can follow along on your own time. But, the first thing that we're going to want to do is the first prompt and that's going to be mapping everything out. So, once I have a new copy, again, I can't emphasize this enough, a new copy of my credit report. That's going to be Experian, Equifax, and TransUnion.

**[1:26]:** Now, if you know that you only have negative items reporting on one of the bureaus, then you can go ahead and use that, but I typically recommend let's make sure that we have at least all of our credit bureaus pulled so that we can see what items are reporting on one bureau versus the other cuz sometimes you'll see a late payment reporting on one bureau and then on the other two bureaus, it's not there. So, we can also use that as leverage. Now, a big caveat on this cuz this is a concern for a lot of people and rightfully so is is my information uh going to be essentially at risk. Now, what I typically recommend is if you're concerned about your information, uh, you know, like a data breach or putting your information on an open source, what you can do is redact sensitive information like your social or you

**[2:11]:** can redact sensitive information maybe like your primary residence. You can redact sensitive information like your phone number. Now, what ends up happening though is like a trade-off, right? Is if your goal is to clean your credit profile, sometimes you're going to want to make sure that all of your addresses are listed the same. This is one of the first steps that you'll typically do when you're cleaning up a credit profile is lining up and making sure that you only have one address, one phone number, one employer listed on your credit report. And so, if the prompt that you're giving, which in this case we're mapping out every negative item, can't identify and cross-reference those data points, you could be losing some potency from these prompts. So, just a heads-up if you do decide to do that. Same thing with the social. But again, that's at your discretion on how much data you want to give access to this, uh, to, you know, chat or Claude, whatever you're using.

**[3:03]:** And so, the first prompt that we're going to use is what you see on your screen. I'm not going to read through all of them just because again, you can download it. Um, and then you can copy and paste this inside of your, uh, essentially your, uh, chat or your Claude. But the first thing that we want to do is we want to map out what's exactly on my credit report. Sometimes, uh, these reports are 60, 70, 80, 90 pages long. And so, unless you've actually been studying and paying attention and looking at and monitoring how that how exactly does a credit report work and what exactly do I need to look at? With this prompt right here, it already trains your AI to allow it to get right to the source on mapping out those negative items. This is go this is essentially going to, uh, to scan through all of the items that are either erroneous, shouldn't be on there, or things that are red flags that we need to pay attention to that we can

**[3:49]:** attack with the other prompts that we're going to be going through. The second prompt is going to be find out what's actually wrong. What does this do? This is going to perform what's called a true accuracy review on the credit report. The reason why we use the language a true accuracy review is because we don't just want it to say, "Okay, a hard inquiry or a soft inquiry are weighed the same and so a soft inquiry also needs to be removed." Sometimes it gets a little wonky if you don't actually give it direction, which is why a lot of people say, "I tried using AI to clean my credit but it didn't actually work for me." It's because they don't actually use the technology the way that it's supposed to be used. This is about training a machine and using these prompts is going to get you a far faster acceleration on the results that you're ultimately looking to get.

**[4:36]:** And so examine each negative account, I'm reading the prompt, examine each negative account field by field, including balances, past due amounts, payment history, account status, uh dates, ownership, and remarks. Compare the information across all three. Notice we're we're using that language again there. Across all three. Here's why because uh according to FCRA, which is the Fair Credit Reporting Act, which protects you and I as the consumer, if there is something that's erroneous or inaccurate on one report, we can use that as leverage against the other bureau. So if something's off on TransUnion, we can use that as leverage with Experian or Equifax or vice versa. Tell me exactly what appears inconsistent and what documents I should review to determine this and accuracy or what's actually inaccurate. So again, here's what this does. This is going to catch discrepancies across Equifax, Experian, TransUnion field by field and then it tells you exactly what needs to be verified line by line.

**[5:34]:** This is how we strategically structure a credit a credit cleaning process using artificial intelligence. Not just prompts like clean my credit. Not just, "Hey, remove this late payment." We want to be skillful about this, which is what you're getting in these prompts. Uh prompt number three is turn the maybes into provable facts. So, this is where that disputing starts to come into play. For each potential error uh that you identified, create ev- create an evidence checklist. Tell me exactly what documents could support or disprove the reported information such as statements, payment confirmations, bank records, settlement letters, correspondence, um or account records. Separate uh separate issues supported by evidence from issues that still need verification. So, here's what this does. This turns your list of potential errors into essentially two clear paths or two clear piles. Uh what you can already prove and what will need documentation before you dispute it.

**[6:36]:** And so, one other thing that I like to do is I like to customize the bracket. So, um you can do this r- right after you run prompt number two, which is what we just did. And again, you can use this with Claude or ChatGPT, depending on which one you're most comfortable with. So, this way it's flagging the accurate data. Number four, prompt number four is going to be building your legal strategy. Now, this isn't by any means any type of legal advice or anything like that. Here's what this means. We're going to use uh the FCRA, which is the Fair Credit Reporting Act. Now, there's a couple of different laws you can typically use to remove late payments, but or in this case collections or charge-offs or negative items, but something that I've observed is what I have here in this specific prompt, which is you uh 15 USC 1681 typically does really well, especially for that initial b- uh for that initial burst of disputes, because it puts the credit bureaus in a position to have to give you real validation.

**[7:37]:** Not just "Hey, we sent you a letter. Yes, we verified it." No, no, no, no, no. That is not what we want. We want you to actually verify and send me documentation based on what you actually see that's reporting and why this is actually on my report, especially when it's errors or negative items, kind of like what we're seeing with the bureaus right now. A lot of them are in hot water because they're reporting items on our credit reports that should not be on there. And so, I want to make sure that if this item is on there, I need it to verify for me, not just like a generic template or like a generic response. Tell me exactly what's on there and then send me the evidence of why this is on there. And then from there, we can move into disputing back. Now, this right here, these last two are going to be a little bit more on the bonus side because depending on what you have on your profile, you may or may not have a late payment.

**[8:30]:** So, if you have a late payment, this is typically the prompt that I like to use right here. Now, there's a couple ways that I typically like to navigate around late payments. When it comes to late payments, if you have a relationship with that financial institution, sometimes you can do what's called a late payment goodwill letter and then send it over to them. Sometimes you can do it as simple as as a phone call. I've done this before. I've talked about it on the channel where I've had late payments before uh simply from just I I didn't know that I had like a recurring bill and sometimes I say, "Hey, man, I just forgot. I forgot to pay it." And so, I'll just call them up and I say, "Hey, I forgot to pay it, but if you look at my history with you guys, I've pretty much been 100% accurate."

**[9:06]:** And usually when you're just nonchalant about that, it's very direct, they just wipe it off. Now, there are some instances where the late payments, it's either uh what we call a multiple offenses or it's a late payment that maybe you just can't get past good graces, right? So, usually this type of prompt is the angle that we would take, which is write a credit dispute letter for the late payment. And then this is where we take the again, this is why you use the first two prompts. You take the accounts that were posted as late and the evidence, and then you identify the exact late payment notation that I believe is inaccurate. So, again, if they reported that you were late, but you maybe were a little bit past the state the statement cycle, then you were still within that window, you can dispute that.

**[9:51]:** If the amount that they reported on there, so hey, you were it was a $200 bill, and you only paid us 250 you know, let's actually let's play around with this number, 195 bucks, then that actually means that there's an inaccuracy there. No, I actually sent you guys the full amount. You guys just collected it a little bit past the statement, or you guys didn't draft the full amount when I told you to draft it from my account. That's different ways you can get creative when you are disputing a late payment. The whole purpose of this specific prompt is it's going to generate an FCRA compliant dispute letter. Again, for that late payment specific to your account. Now, one recommendation that I do have in addition to this is that when we're using and you're getting these letters and you're sending it out, you always want to send it out to the bureau that has the late

**[10:41]:** payment. And then number two is you only want to use this for the accounts that you still have relationships with. If it's one of those where it's a collection or a charge-off, you may want to take a different angle, kind of like the previous two prompts that we did.

**[10:57]:** Number six is going to be the collection account. Now, there's a difference between a collection account and a charge-off account. Typically, if something is in collections, then that means that a third-party company purchased it. And so, they are trying to collect on that debt. So, this type of dispute right here goes again to the credit bureaus, and you can also do like a two-prong approach where you can use this and send it out to the original creditor, as well. Again, it's going to be case by case, but that's usually how we like to see it done. And so this is going to be the prompt that we'll use. Write a credit Write a credit bureau dispute letter regarding the collection account. And again, we're going to paste that evidence. Again, stacking on the first two prompts that we just did. Identify the specific information that is inaccurate or incomplete, such as a balance, ownership, account status, dates, duplicate reporting.

**[11:54]:** Explain the evidence supporting my dispute and request a reasonable reinvestigation under 15 U.S.C. There's that prompt again, 1681, and correct or delete where required through the investigation. Do not make a claim on the evidence that does not support. Again, we're taking this letter or we're taking this prompt and we're plugging it in based on some of the evidence that we get from either a previous dispute that we did that maybe didn't go so well, or we saw some items that got removed, but maybe there was just some lingering items. So what do I do? You can do You can take the report that you have, so your credit report, this hence again that's linked down in the description. You can grab a copy of that. You can sign up, get access to that tool so you're using accurate data for this to actually work. Two things.

**[12:43]:** You use that report, and then you plug it in to your AI software. Or or and and or you also use responses that you get from the credit bureaus that are {quote} {unquote} validating the collection or validating the debt. Number seven, disputing a charge-off. Now the difference here with the charge-off is that the company has essentially the original creditor has written it off as a loss. So at that point, there isn't much communication that happens with that third party or with that original creditor. So if it was a bank, if it was a store, if it was a vendor, they've already sold that debt off to a third-party company. And so, they've already charged it off as debt on their balance sheets. And so, at this point, that the third-party company that bought your debt for pennies on the dollar essentially is trying to collect whatever they can.

**[13:38]:** So, what we would do in this situation is very similar to what we would do on a collection account, which is we can use, if you're sending off your first round of disputes, you would use your credit report, and you would plug in this prompt right here, write a credit dispute letter regarding this charge off. Same flow, paste the account evidence, identify each specific field. Again, it has the same flow, and then we're using the same investigation under 15 U.S.C. 1681. Again, we want to have the appropriate correction um of the information found uh that's inaccurate, uh incomplete, or unverifiable. So, depending on where you're at in your credit cleaning journey, this could be your first set of letters that are going out. If that is, then you're going to use your credit report. Again, use an updated one. Don't use one that's like 6 years old.

**[14:26]:** Don't use one that's even 50 days old. Use one that's reporting as of the date that you're looking to dispute in this cycle. Um if you are already in what we call rotation or in sequence, and you're accurately or actively disputing the accounts, then you're going to want to see what type of responses you're getting. You can plug that that into your chat, into your cloud, and then you can use this language again or a variation of this prompt to help you structure out the again the disputes that go out.

**[14:56]:** Now, one last thing that I will say is this. When it comes to disputing credit, and when it comes to cleaning your credit, it's extremely tedious. And usually, if you have one item that comes off in that round, fantastic, but it is a continual process, and you have to watch your credit profile like a hawk in order to see the type of what we call success that you want to see on your credit being cleaned. And so, the last thing that I'll leave you with, and again, you have the prompt down in the description, is the following. Use these responsibly. And second, only use them in the accounts that are attached to your credit profile. If accounts have been removed, keep it moving. You don't have to use it because it's already been cleaned off. If you found value in this video, then you'll enjoy this one right here where I go a little bit further into how to use things like AI to get access to business funding.

**[15:53]:** See you in the next one.