YT YouTube2Text

YouTube2Text → Transcripts → How to Fix Your Credit Using ChatGPT (The Exact Prompts)

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

by Irvin Peña · 3,091 words · 463 segments · language en · Watch on YouTube

Open in transcriber Summarize with AI Download SRT/VTT

Full transcript

0:00Artificial intelligence is beating the
0:01credit bureaus and everyday people are
0:03using things like ChatGPT, Claude to
0:05clean their credit profiles, but only if
0:08you use the right prompts. In this
0:10video, I'm going to show you the exact
0:11prompts that we're using to clean up
0:13credit profiles and how you can
0:15implement this implement this for your
0:17credit so that you can ultimately boost
0:19your credit score and get it cleaned up
0:21and get those items removed. Now,
0:23there's two things that you're going to
0:25need. The first is the prompts which
0:27I'll be giving you in this video as
0:29we're going through it and then I've
0:30gone ahead and leaked the Google Doc
0:32down in the description so you can
0:34download it as well completely free. And
0:36the second thing that you're going to
0:37need is the freshest or newest copy of
0:40your credit report in order for any of
0:42this to work. It doesn't matter how
0:43strong a prompt is because this is all
0:45about inputs and outputs, you need to
0:47have accurate data. I've also gone ahead
0:50and leaked the exact company that I
0:52typically recommend, the tool that I
0:53typically use with my clients to make
0:56sure that we're getting fresh data and
0:58so that we're seeing the items get
1:00removed in real time. You can also get
1:02that tool that's linked down in the
1:04description. So, now that we have those
1:06items, you can follow along. Again, you
1:08can download this and you can follow
1:10along on your own time.
1:11But, the first thing that we're going to
1:13want to do is the first prompt and
1:15that's going to be mapping everything
1:17out. So, once I have a new copy, again,
1:21I can't emphasize this enough, a new
1:22copy of my credit report. That's going
1:24to be Experian, Equifax, and TransUnion.
1:26Now, if you know that you only have
1:28negative items reporting on one of the
1:30bureaus, then you can go ahead and use
1:32that, but I typically recommend let's
1:34make sure that we have at least all of
1:36our credit bureaus pulled so that we can
1:38see what items are reporting on one
1:41bureau versus the other cuz sometimes
1:43you'll see a late payment reporting on
1:44one bureau and then on the other two
1:46bureaus, it's not there. So, we can also
1:48use that as leverage. Now, a big caveat
1:51on this cuz this is a concern for a lot
1:52of people and rightfully so is
1:54is my information
1:56uh going to be essentially at risk. Now,
1:59what I typically recommend is if you're
2:01concerned about your information, uh,
2:04you know, like a data breach or putting
2:05your information on an open source, what
2:07you can do is redact sensitive
2:09information like your social or you can
2:11redact sensitive information maybe like
2:13your primary residence. You can redact
2:16sensitive information like your phone
2:17number. Now, what ends up happening
2:19though is like a trade-off, right? Is if
2:22your goal is to clean your credit
2:24profile, sometimes you're going to want
2:26to make sure that all of your addresses
2:28are listed the same. This is one of the
2:29first steps that you'll typically do
2:31when you're cleaning up a credit profile
2:32is lining up and making sure that you
2:34only have one address, one phone number,
2:36one employer listed on your credit
2:38report. And so, if the prompt that
2:41you're giving, which in this case we're
2:42mapping out every negative item, can't
2:45identify and cross-reference those data
2:47points, you could be losing some potency
2:50from these prompts. So, just a heads-up
2:52if you do decide to do that. Same thing
2:54with the social. But again, that's at
2:56your discretion on how much data you
2:59want to give access to this, uh, to, you
3:01know, chat or Claude, whatever you're
3:03using. And so, the first prompt that
3:04we're going to use is what you see on
3:05your screen. I'm not going to read
3:06through all of them just because again,
3:08you can download it.
3:09Um, and then you can copy and paste this
3:11inside of your, uh, essentially your,
3:13uh, chat or your Claude. But the first
3:15thing that we want to do is we want to
3:15map out what's exactly on my credit
3:17report. Sometimes, uh, these reports are
3:1960, 70, 80, 90 pages long. And so,
3:22unless you've actually been studying and
3:24paying attention and looking at and
3:26monitoring how that how exactly does a
3:29credit report work and what exactly do I
3:31need to look at? With this prompt right
3:33here, it already trains your AI to allow
3:36it to get right to the source on mapping
3:38out those negative items. This is go
3:41this is essentially going to, uh, to
3:42scan through all of the items that are
3:45either erroneous, shouldn't be on there,
3:47or things that are red flags that we
3:48need to pay attention to that we can
3:49attack with the other prompts that we're
3:51going to be going through. The second
3:53prompt is going to be find out what's
3:55actually wrong. What does this do?
3:57This is going to perform what's called a
3:59true accuracy review on the credit
4:02report. The reason why we use the
4:03language a true accuracy review is
4:05because we don't just want it to say,
4:07"Okay, a hard inquiry or a soft inquiry
4:10are weighed the same and so a soft
4:12inquiry also needs to be removed."
4:13Sometimes it gets a little wonky if you
4:16don't actually give it direction, which
4:18is why a lot of people say, "I tried
4:19using AI to clean my credit but it
4:21didn't actually work for me." It's
4:22because they don't actually use the
4:24technology the way that it's supposed to
4:26be used. This is about training a
4:28machine and using these prompts is going
4:31to get you a far faster acceleration on
4:34the results that you're ultimately
4:35looking to get. And so examine each
4:37negative account, I'm reading the
4:38prompt, examine each negative account
4:41field by field, including balances, past
4:44due amounts, payment history, account
4:46status,
4:47uh dates, ownership, and remarks.
4:49Compare the information across all
4:51three. Notice we're we're using that
4:53language again there. Across all three.
4:55Here's why because uh according to FCRA,
4:58which is the Fair Credit Reporting Act,
4:59which protects you and I as the
5:01consumer,
5:02if there is something that's erroneous
5:04or inaccurate on one report, we can use
5:06that as leverage against the other
5:08bureau. So if something's off on
5:10TransUnion, we can use that as leverage
5:12with Experian or Equifax or vice versa.
5:14Tell me exactly what appears
5:16inconsistent and what documents I should
5:17review to determine this and accuracy or
5:20what's actually inaccurate. So again,
5:22here's what this does. This is going to
5:24catch discrepancies across Equifax,
5:27Experian, TransUnion field by field and
5:29then it tells you exactly what needs to
5:31be verified line by line. This is how we
5:36strategically structure a credit a
5:38credit cleaning process using artificial
5:41intelligence. Not just prompts like
5:43clean my credit. Not just, "Hey, remove
5:45this late payment." We want to be
5:47skillful about this, which is what
5:49you're getting in these prompts. Uh
5:51prompt number three
5:53is turn the maybes into provable facts.
5:56So, this is where that disputing starts
5:58to come into play. For each potential
6:00error uh that you identified, create ev-
6:03create an evidence checklist.
6:05Tell me exactly what documents could
6:07support or disprove the reported
6:10information such as statements, payment
6:12confirmations, bank records, settlement
6:14letters, correspondence, um or account
6:17records. Separate uh separate issues
6:19supported by evidence from issues that
6:22still need verification. So, here's what
6:24this does. This turns your list of
6:26potential errors into essentially two
6:29clear paths or two clear piles. Uh what
6:31you can already prove and what will need
6:34documentation before you dispute it. And
6:36so, one other thing that I like to do is
6:37I like to customize the bracket. So, um
6:39you can do this r- right after you run
6:42prompt number two, which is what we just
6:43did. And again, you can use this with
6:45Claude or ChatGPT, depending on which
6:47one you're most comfortable with. So,
6:49this way it's flagging the accurate
6:51data.
6:52Number four, prompt number four
6:54is going to be building your legal
6:56strategy. Now, this isn't by any means
6:58any type of legal advice or anything
7:00like that. Here's what this means. We're
7:02going to use uh the FCRA, which is the
7:06Fair Credit Reporting Act. Now, there's
7:08a couple of different laws you can
7:09typically use to remove late payments,
7:11but or in this case collections or
7:13charge-offs or negative items, but
7:15something that I've observed is what I
7:18have here in this specific prompt, which
7:20is you uh 15 USC 1681
7:24typically does really well, especially
7:26for that initial b- uh for that initial
7:29burst of disputes, because it puts the
7:32credit bureaus in a position to have to
7:34give you real validation. Not just "Hey,
7:39we sent you a letter. Yes, we verified
7:41it." No, no, no, no, no. That is not
7:43what we want. We want you to actually
7:45verify and send me documentation
7:49based on what you actually see that's
7:51reporting and why this is actually on my
7:54report, especially when it's errors or
7:56negative items, kind of like what we're
7:57seeing with the bureaus right now. A lot
7:58of them are in hot water
8:00because they're reporting items on our
8:03credit reports that should not be on
8:04there. And so, I want to make sure that
8:06if this item is on there, I need it to
8:08verify for me, not just like a generic
8:11template or like a generic response.
8:14Tell me exactly what's on there and then
8:15send me the evidence of why this is on
8:18there. And then from there, we can move
8:21into disputing back. Now, this right
8:24here, these last two are going to be a
8:25little bit more on the bonus side
8:26because depending on what you have on
8:28your profile, you may or may not have a
8:30late payment. So, if you have a late
8:31payment,
8:33this is typically the prompt that I like
8:34to use right here. Now, there's a couple
8:36ways that I typically like to navigate
8:37around late payments. When it comes to
8:39late payments, if you have a
8:41relationship with that financial
8:43institution, sometimes you can do what's
8:45called a late payment goodwill letter
8:47and then send it over to them. Sometimes
8:48you can do it as simple as as a phone
8:50call. I've done this before. I've talked
8:51about it on the channel where I've had
8:53late payments before uh simply from just
8:55I I didn't know that I had like a
8:57recurring bill and sometimes I say,
8:59"Hey, man, I just forgot. I forgot to
9:00pay it." And so, I'll just call them up
9:01and I say, "Hey, I forgot to pay it, but
9:02if you look at my history with you guys,
9:04I've pretty much been 100% accurate."
9:06And usually when you're just nonchalant
9:08about that, it's very direct, they just
9:10wipe it off. Now, there are some
9:11instances where the late payments, it's
9:14either uh what we call a multiple
9:16offenses or it's a late payment that
9:19maybe you just can't get past good
9:21graces, right? So, usually this type of
9:24prompt is the angle that we would take,
9:26which is write a credit dispute letter
9:29for the late payment. And then this is
9:30where we take the again, this is why you
9:32use the first two prompts. You take the
9:34accounts that were posted as late and
9:36the evidence, and then you identify the
9:38exact late payment notation that I
9:41believe is inaccurate. So, again, if
9:44they reported that you were late, but
9:45you maybe were a little bit past the
9:47state the statement cycle, then you were
9:49still within that window, you can
9:50dispute that. If the amount that they
9:53reported on there, so hey, you were it
9:56was a $200 bill, and you only paid us
9:59250 you know, let's actually let's play
10:02around with this number, 195 bucks, then
10:05that actually means that there's an
10:06inaccuracy there. No, I actually sent
10:08you guys the full amount. You guys just
10:10collected it a little bit past the
10:11statement, or you guys didn't draft the
10:13full amount when I told you to draft it
10:14from my account. That's different ways
10:16you can get creative when you are
10:18disputing a late payment. The whole
10:20purpose of this
10:21specific prompt is it's going to
10:23generate an FCRA compliant dispute
10:26letter. Again, for that late payment
10:29specific to your account. Now, one
10:31recommendation that I do have in
10:32addition to this is that when we're
10:33using and you're getting these letters
10:35and you're sending it out, you always
10:38want to send it out to the bureau that
10:40has the late payment. And then number
10:42two is you only want to use this for the
10:46accounts that you still have
10:47relationships with.
10:49If it's one of those where it's a
10:50collection or a charge-off, you may want
10:53to take a different angle, kind of like
10:54the previous two prompts that we did.
10:57Number six
10:58is going to be the collection account.
11:01Now, there's a difference between a
11:03collection account and a charge-off
11:05account. Typically, if something is in
11:07collections, then that means that a
11:10third-party company purchased it. And
11:13so, they are trying to collect on that
11:15debt. So, this type of dispute right
11:17here goes again to the credit bureaus,
11:20and you can also do like a two-prong
11:22approach where you can use this and send
11:25it out to the original creditor, as
11:29well. Again, it's going to be case by
11:30case,
11:31but that's usually how we like to see it
11:33done. And so this is going to be the
11:34prompt that we'll use.
11:36Write a credit Write a credit bureau
11:38dispute letter
11:40regarding the collection account. And
11:41again, we're going to paste that
11:42evidence. Again, stacking on the first
11:44two prompts that we just did. Identify
11:46the specific information
11:48that is inaccurate or incomplete, such
11:50as a balance, ownership, account status,
11:52dates, duplicate reporting. Explain the
11:55evidence supporting my dispute and
11:57request a reasonable reinvestigation
11:59under 15 U.S.C. There's that prompt
12:02again, 1681, and correct or delete where
12:06required through the investigation. Do
12:09not make a claim on the evidence that
12:11does not support. Again, we're taking
12:13this letter or we're taking this prompt
12:15and we're plugging it in based on some
12:17of the evidence that we get from either
12:20a previous dispute that we did that
12:22maybe didn't go so well, or we saw some
12:25items that got removed, but maybe there
12:26was just some lingering items. So what
12:28do I do?
12:29You can do
12:30You can take the report
12:32that you have, so your credit report,
12:33this hence again that's linked down in
12:35the description. You can grab a copy of
12:37that. You can sign up, get access to
12:39that tool so you're using accurate data
12:41for this to actually work.
12:43Two things. You use that report, and
12:45then you plug it in to your AI software.
12:48Or or and and or you also use responses
12:53that you get from the credit bureaus
12:56that are {quote} {unquote} validating
12:58the collection or validating the debt.
13:02Number seven,
13:03disputing a charge-off.
13:05Now the difference here with the
13:06charge-off is that the company has
13:08essentially the original creditor has
13:11written it off as a loss. So at that
13:13point, there isn't much communication
13:15that happens with that third party or
13:17with that original creditor. So if it
13:19was a bank, if it was a store, if it was
13:22a vendor,
13:23they've already sold that debt off to a
13:26third-party company.
13:28And so, they've already charged it off
13:29as debt on their balance sheets. And so,
13:32at this point, that the third-party
13:34company that bought your debt for
13:35pennies on the dollar essentially is
13:36trying to collect whatever they can.
13:38So, what we would do in this situation
13:41is very similar to what we would do on a
13:43collection account, which is we can use,
13:45if you're sending off your first round
13:47of disputes, you would use your credit
13:49report, and you would plug in this
13:50prompt right here, write a credit
13:52dispute letter regarding this charge
13:53off. Same flow, paste the account
13:56evidence, identify each specific field.
13:57Again, it has the same flow, and then
13:59we're using the same investigation under
14:0115 U.S.C. 1681.
14:04Again, we want to have the appropriate
14:05correction
14:07um of the information
14:09found uh that's inaccurate,
14:11uh incomplete, or unverifiable. So,
14:14depending on where you're at in your
14:15credit cleaning journey, this could be
14:17your first set of letters that are going
14:18out. If that is, then you're going to
14:20use your credit report. Again, use an
14:23updated one. Don't use one that's like 6
14:25years old. Don't use one that's even 50
14:27days old. Use one that's reporting as of
14:29the date that you're looking to dispute
14:31in this cycle.
14:32Um if you are already in what we call
14:35rotation or in sequence, and you're
14:36accurately or actively disputing the
14:39accounts, then you're going to want to
14:41see what type of responses you're
14:42getting. You can plug that that into
14:46your chat, into your cloud, and then you
14:48can use this language again or a
14:50variation of this prompt to help you
14:53structure out the again the disputes
14:55that go out. Now, one last thing that I
14:57will say is this.
14:59When it comes to disputing credit, and
15:01when it comes to cleaning your credit,
15:03it's extremely tedious.
15:04And usually, if you have one item that
15:07comes off in that round, fantastic, but
15:10it is a continual process, and you have
15:13to watch your credit profile like a hawk
15:15in order to see the type of what we call
15:18success that you want to see
15:20on your credit being cleaned.
15:22And so, the last thing that I'll leave
15:23you with, and again, you have the prompt
15:25down in the description, is the
15:27following.
15:28Use these responsibly.
15:31And second, only use them in the
15:33accounts that are attached to your
15:36credit profile.
15:38If accounts have been removed,
15:41keep it moving. You don't have to use it
15:42because it's already been cleaned off.
15:44If you found value in this video, then
15:46you'll enjoy this one right here where I
15:48go a little bit further into how to use
15:50things like AI to get access to business
15:53funding. See you in the next one.

About this transcript

This page contains the full transcript of How to Fix Your Credit Using ChatGPT (The Exact Prompts) by Irvin Peña, generated from the public captions YouTube serves with the video. The transcript has 3,091 words across 463 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to choose a caption track available on the video.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, caption language selection, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.