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How to Write a Cover Letter With ChatGPT (and Make It Sound Human)

Write a ChatGPT cover letter that sounds like you: what to feed it, copy-and-paste prompts, a humanizing edit pass, and the AI red flags recruiters notice.

Resume Maker Editorial TeamUpdated 19 min read

Key takeaways

  • Tailored cover letters still matter: in one field experiment, tailored letters drew 53% more callbacks than applying with none.
  • Feed ChatGPT your evidence, the job description, and two or three verified company facts; it cannot personalize what it does not know.
  • Draft in parts (opening, proof, fit, close) and ask for options, then combine and rewrite in your own words.
  • Run a humanizing edit: cut stock openers, replace adjectives with facts, vary sentence length, and read it aloud.
  • Verify every company detail on the employer's own site, since models can state outdated or invented facts with confidence.

A ChatGPT cover letter takes ten seconds to generate and about ten seconds for a recruiter to recognize. "I am thrilled to apply for this exciting opportunity" is not a sentence anyone writes on purpose, yet it opens thousands of letters a day. The tool is not the problem. The inputs and the editing are.

This guide shows you how to use ChatGPT for what it does well, which is structure, drafts, and tightening, while you supply what it cannot: real achievements, verified company knowledge, and your voice. You will get an input checklist, copy-and-paste prompts by paragraph, prompts for common situations, a humanizing edit pass, and a list of the red flags recruiters actually notice.

Plan on 30 to 45 minutes for your first letter and about 15 minutes for each tailored version after that.

Does a ChatGPT cover letter still work?#

Cover letters still get read, and tailoring still pays. In a ResumeGo field experiment covering 7,287 applications sent between 2019 and 2020, applications with a letter tailored to the job and company received 53% more interview callbacks than applications with no letter, and 87% of the hiring professionals it surveyed said they read cover letters, per ResumeGo's cover letter study. The same survey found most respondents valued tailored letters far above generic ones.

That is the core issue with an unedited ChatGPT draft. It is fluent but generic, and generic is exactly what the study found readers discount.

Why generic letters blend in more than ever#

Recruiters are reading more applications with fewer people. Greenhouse's benchmark data shows average applications per job more than doubled from 2022 to 2025, per its recruiting benchmarks.

Average applications per job, 2022 to 2025

Applications received per job across Greenhouse customers

116applications
189applications
223applications
244applications
2022
2023
2024
2025

Source: Greenhouse, The Hire Standard benchmarks (2026)

View data
LabelValue
2022116applications
2023189applications
2024223applications
2025244applications

What the research does and does not show#

The ResumeGo experiment used fictitious applications sent to real job postings, and it predates today's AI writing tools. It does not prove that any letter helps, and it cannot tell you how a specific employer weighs letters today. What it does show is directional: a letter written for the specific job and company outperformed sending nothing, and hiring professionals said generic letters hurt more than they help. That is the standard your ChatGPT draft has to meet.

Why AI-written letters face a higher bar#

AI writing is now an everyday tool. Pew Research Center found that 28% of employed US adults had used ChatGPT for work by early 2025, up from 8% in 2023, per its 2025 survey. With AI tools in wide use, a reviewer may see dozens of letters that open the same way. A specific first sentence and one concrete result are now what make a letter worth finishing. If you are deciding whether to write one at all, are cover letters necessary covers when they matter most.

What ChatGPT does well and badly on cover letters#

ChatGPT is a fast, fluent drafter with no knowledge of your career and unreliable knowledge of the employer. Split the work accordingly.

Cover letter taskChatGPT's strengthRiskWhat you do
Structure and flowStrongFormulaic rhythmReorder and vary sentence length
Opening lineWeakStock enthusiasmWrite or heavily edit it yourself
Matching your experience to the jobGood with your factsCopies posting phrasesSupply evidence; check wording
Company knowledgeUnreliableOutdated or invented factsVerify on the company's own site
Tone adjustmentsStrongOver-polished, stiffRead aloud and simplify
Length controlGood when toldRuns long by defaultSet limits and cut further

Treat it like a junior coworker#

OpenAI's own prompting guide compares a model to a junior coworker that does its best work when given explicit instructions for a specific output, per its prompt engineering guide. A junior colleague asked to "write a cover letter for me" would produce something vague too. Give it the material and the rules, and it produces something useful.

Gather your personalization inputs first#

Personalization is not a tone. It is information. Before you open ChatGPT, collect the facts that make the letter about you and this employer.

The inputs that matter#

This table lists what to gather and where each piece usually ends up in the letter.

InputWhere it goesHow to get it
Two or three achievements with numbersProof paragraphYour resume, reviews, reports
The job's top three requirementsProof and fit paragraphsThe posting; a keyword finder
Two verified company factsOpening or fit paragraphCompany site, recent press releases
Your genuine reason for this roleOpening lineYour own notes
Hiring manager's name, if knownGreetingPosting, LinkedIn, team page
One detail only you knowAnywhereA product you use, a talk you saw, a person you met

You can pull the requirements quickly with the free job description keyword finder. For the greeting, how to address a cover letter covers what to do when you cannot find a name.

Where to find company facts that are actually useful#

  • The company's newsroom or press page for launches, expansions, and funding
  • The team's own blog or engineering, design, or product posts
  • The careers page's description of the team and how it works
  • Recent earnings materials or annual reports for public companies
  • Conversations with current employees, which are the best source of all

Pick facts that connect to the role. "You recently opened a Denver warehouse" matters for a logistics analyst; it is trivia for a front-end developer.

If you cannot find useful company facts#

Small companies and stealth startups may have little public information. In that case, use what the posting itself reveals: the problem the team is hiring to solve, the tools it uses, or the customers it serves. "Your posting says the team is rebuilding onboarding for small-business customers" is a verified fact, because you read it. You can also mention how you use the product, if you do. Never ask ChatGPT to fill the gap with general claims about the company's culture or mission; those are the details most likely to be wrong.

An input sheet you can paste#

Cover letter input sheet

ROLE: [title] at [company], [team if known]

WHY THIS ROLE (my words): [one or two honest sentences]

TOP 3 REQUIREMENTS: 1) [ ] 2) [ ] 3) [ ]

MY EVIDENCE:

- [achievement with number] → matches requirement [#]

- [achievement with number] → matches requirement [#]

- [achievement with number] → matches requirement [#]

VERIFIED COMPANY FACTS (with source):

- [fact] (source: company newsroom, date)

- [fact] (source: team blog, date)

ONE DETAIL ONLY I KNOW: [ ]

WORDS I NEVER USE: thrilled, passionate, dynamic, synergy, leverage

A step-by-step workflow to write a cover letter with ChatGPT#

Here is the full process from inputs to final file. Each step is short, and each produces something you can check.

  1. Set the rules. Paste a session brief that bans invented facts and stock phrases.
  2. Analyze the posting. Ask for the top requirements with supporting quotes from the job description.
  3. Map your evidence. Ask which of your achievements best proves each requirement.
  4. Draft paragraph by paragraph. Opening, proof, fit, close, with options for each.
  5. Assemble and cut. Combine the best options into one letter under your word limit.
  6. Run the humanizing edit. Replace generic language with your own.
  7. Fact-check. Verify every claim about you and every fact about the company.
  8. Format and send. Match the application method: PDF, text box, or email.

Reusing a letter for similar roles#

Once you have one strong letter, you do not need to start over for every application. Keep the proof paragraph as a reusable block, since your achievements do not change between employers. Rewrite the opening and the fit paragraph for each company, because those carry the personalization. Then run the claims check again; reused letters are where wrong company names slip in.

Why paragraph by paragraph beats one big prompt#

A single "write my cover letter" prompt returns a complete, smooth, forgettable letter. Drafting each paragraph separately, with three options each, gives you more control and more raw material. It also makes the humanizing edit easier, because you are choosing and combining rather than fixing a finished piece.

Copy-and-paste ChatGPT cover letter prompts#

Replace everything in [brackets]. Run the prompts in order within one chat dedicated to one job.

1. Session brief#

Prompt: session brief for a cover letter

You're helping me write a cover letter for [role] at [company].

Rules for this chat:

- Use only facts I provide about me and the company. If something is missing, write [CHECK].

- Don't invent company details, products, or values.

- Plain, direct US English. Never use: thrilled, excited to apply, passionate, dynamic, synergy, leverage, I believe I would be a great fit.

- Total letter under [300] words when assembled.

Reply "Ready" and wait.

2. Requirements with quotes#

Prompt: requirements from the job description

JOB DESCRIPTION:

[paste]

List the 3 requirements the hiring manager cares about most. For each, quote the line from the posting that shows it and explain in one line why it matters for this role.

Asking for the quote keeps the analysis tied to the actual text. Anthropic's prompting guide recommends a similar technique, having the model pull relevant quotes before it does the task, per its prompting best practices.

3. Evidence mapping#

Prompt: map my achievements to the requirements

MY ACHIEVEMENTS:

[paste 4 to 6 achievements with numbers]

For each of the 3 requirements, pick the single achievement that proves it best and explain why in one line. If none fits a requirement, say so; don't stretch one to fit.

4. Opening paragraph options#

Prompt: three opening options

Write 3 opening paragraphs, each 2 to 3 sentences.

Each must include: the role title, my honest reason for wanting it ([your reason]), and one specific connection to [verified company fact].

Don't start with "I am writing to," "I'm excited," or "As a."

More approaches for first lines are in how to start a cover letter.

5. Proof paragraph#

Prompt: the proof paragraph

Write 2 versions of a proof paragraph (4 to 5 sentences) using my achievements for requirements 1 and 2.

Show the situation, what I did, and the result with the number. Use the posting's terms only where they accurately describe my work.

6. Fit and closing paragraphs#

Prompt: fit and close

Write 2 versions of a short fit paragraph (2 to 3 sentences) connecting requirement 3 to [second verified company fact] and what I'd focus on in the first few months.

Then write 2 closing lines that ask for a conversation without sounding pushy or using "I look forward to hearing from you."

Closing options and sign-offs are covered in how to end a cover letter.

7. Assembly#

Prompt: assemble the letter

Combine opening option [#], proof version [#], fit version [#], and closing [#] into one letter.

Keep it under [300] words. Don't add new claims. Mark any sentence you changed significantly with (edited) so I can review it.

Tip

If you want a quick first draft outside the chat, the free cover letter generator builds one from your resume and the job description. Use the same edit and fact-check passes on its output.

Prompts for specific situations#

Some letters need to explain something the resume cannot. These prompts handle the common cases. Pair each with the dedicated guide for the full approach.

Career change#

Prompt: career change letter

I'm moving from [old field] to [new field]. My most transferable achievements: [paste].

Write a proof paragraph that explains how 2 of these apply to [role], using plain terms a hiring manager in [new field] would recognize. Include one sentence on why I'm making the change: [your reason]. Don't apologize for the switch.

See career change cover letter for structure and examples.

Little or no experience#

Prompt: entry-level letter

I'm a [recent graduate / first-time job seeker] applying for [role]. My relevant experience: [projects, coursework, part-time jobs, activities with outcomes].

Write a proof paragraph that uses 2 of these as evidence for requirements 1 and 2. Keep my actual role in each; don't upgrade "helped" to "led."

The full guide is how to write a cover letter with no experience.

Internal role or referral#

Prompt: internal or referred candidate

I'm applying for [role] [internally / on a referral from (name, their role)].

Write an opening that mentions [the referral / my current team] in the first sentence and connects it to one result I've achieved: [result]. Keep it under 3 sentences.

For internal moves, cover letter for an internal position covers what to say about your current manager and team.

Employment gap or return to work#

Prompt: address a gap briefly

I was out of the workforce from [month year] to [month year] for [reason]. During that time I [courses, volunteering, freelance work, caregiving responsibilities].

Write one or two neutral sentences I could include near the end of the proof paragraph. Focus on readiness for the role, not on justifying the gap. No apologies.

A cover letter is a good place to address a gap briefly because you control the framing. Keep it to one or two sentences and return to evidence right away.

Short letter for a text box or email#

Prompt: short version

Condense the assembled letter to 120 to 160 words for an application text box. Keep the opening reason, one proof point with a number, and a one-line close. No greeting or signature block.

Short formats and when to use them are in short cover letter examples. If you are sending your application by email instead of a portal, how to write a job application email covers subject lines and structure.

The humanizing edit pass#

This is where a ChatGPT draft becomes your letter. Do it in passes rather than all at once, and expect to change at least a third of the words.

Pass 1: replace the opening#

Delete the first sentence the model wrote, even if it seems fine. Write your own opening in one or two sentences: what role, why you, why them. Specific beats clever.

Pass 2: swap adjectives for facts#

Search for words like "passionate," "dedicated," "proven," "exceptional," and "excited." Replace each with a fact that shows the quality. "Dedicated to customer satisfaction" becomes "kept a 96% CSAT across 1,200 tickets last year."

Pass 3: remove anything that fits every applicant#

Read each sentence and ask: could another candidate send this exact sentence? If yes, cut it or add a detail only you could write.

Pass 4: vary rhythm and read aloud#

AI drafts often use sentences of similar length with the same structure. Combine two short ones, split a long one, and start a sentence with something other than "I." Then read the letter aloud. Rewrite anything you would not say in a conversation.

Pass 5: check the length#

Cut until the letter fits on two-thirds of a page or the text box limit. Cutting is the most underrated edit; it removes filler and makes the remaining claims stronger.

Pass 6: add one detail only you know#

The most human sentence in a letter is usually one no model could have written: a feature of the product you rely on, a talk by the team lead you watched, a customer problem you have seen from the other side. Add one, briefly, where it supports your reason for applying.

Adding a detail only you would know

Generic: I admire your commitment to small businesses.

Specific: I've run my side business's invoicing through your app for two years, and the late-payment reminders cut my overdue invoices roughly in half. I'd like to help build the next version of that experience.

Keep it true and keep it short. One genuine detail does more than a paragraph of praise.

AI tells and how to fix them#

Use this table to spot the patterns recruiters associate with unedited AI writing.

AI tellExampleFix
Stock enthusiasm"I am thrilled to apply for this exciting opportunity"State the role and your specific reason
Echoing the posting"I am a self-starter who thrives in fast-paced environments"Show the trait with a short story or result
Vague value claims"I would bring significant value to your team"Name the result you would aim for
Flattery without facts"Your company is a leader in innovation"Cite one verified, relevant company fact
Triple adjectives"dynamic, results-oriented, and collaborative"Delete all three; add a number
Formulaic close"I look forward to the opportunity to discuss"Ask a direct question or name a next step

A before-and-after edit#

Before and after: humanizing an AI opening

ChatGPT draft:

I am thrilled to apply for the Marketing Coordinator position at your esteemed company. As a passionate and results-driven marketer, I believe I would be a great fit for your dynamic team.

Edited:

I'm applying for the Marketing Coordinator role because your shift to customer webinars is the same playbook I ran at my current company, where our monthly series grew registrations from 80 to 410 in a year. I'd like to bring that to your mid-market team.

The edited version names the role, gives a reason tied to a verified company fact, and proves fit with a number, all in two sentences.

Red flags recruiters spot in AI cover letters#

Recruiters rarely run detection software; they notice patterns and mismatches. These are the ones that most often sink a letter.

  • Wrong or invented company details. A product the company does not sell, an outdated mission statement, or a value the company never published.
  • A letter that contradicts the resume. Different titles, dates, or numbers in the two documents.
  • Perfect fluency with zero specifics. Polished sentences that never name a project, tool, or result.
  • The job posting played back. Requirements restated as claims, in the same order, with the same phrasing.
  • Placeholder residue. "[Company Name]," "Dear Hiring Manager at [Company]," or an unfilled [CHECK].
  • Mismatched tone. Grand language for a casual startup, or casual language for a law firm.
Warning

Search your final letter for brackets, "Company Name," and the name of any other employer you applied to. Leftover placeholders and wrong company names are the most common and most damaging AI cover letter errors.

For broader errors beyond AI use, see cover letter mistakes that hurt your application. For what reviewers notice in AI-assisted documents generally, read can employers tell if your resume was written by AI.

Follow-up prompts to refine the draft#

The first assembled letter is rarely the final one. Short, targeted follow-ups fix most problems faster than rewriting your original prompt.

If the letter looks like this, reply with this#

If the draft is...Reply with...
Too long"Cut to [250] words. Keep both numbers and the closing question."
Too formal"Rewrite in the tone of a clear email to a colleague you respect."
Too generic"Underline every sentence another applicant could send. Ask me for a detail to replace each."
Echoing the posting"Rewrite any sentence that reuses more than 4 consecutive words from the job description."
Weak on proof"Which claim has no number or example? Ask me for one."
Repetitive openings"Rewrite so no two sentences in a row start with I."

Ask it to critique, not just rewrite#

A useful final prompt is: "Read this as the hiring manager. What is the single strongest reason to interview me, and what is the biggest doubt this letter leaves?" If the answer to the first question is not what you want them to remember, move that point earlier. If the doubt is fixable with one more fact, add it.

Know when to stop prompting#

After three or four rounds, more prompting tends to polish rather than improve. If the letter still feels flat, the missing ingredient is information, not wording. Go back to your input sheet and add a sharper reason for applying or a better result.

Fact-check every claim about you and the employer#

A cover letter makes two kinds of claims: about you and about the company. ChatGPT can get both wrong.

Claims about you#

  • Every number matches your resume and your records
  • Titles, dates, and team sizes are exactly what your employer would confirm
  • Verbs like "led" and "owned" describe your role, not your team's
  • No tool, certification, or project appears that you did not provide

Claims about the company#

Language models can state outdated or invented company facts with full confidence. Treat every company detail in the draft as unverified until you have checked it on the company's own site or a recent, reputable news source. If you cannot verify a fact, delete it.

Watch for these errors in particular:

  • A product, feature, or office the company does not have, or no longer has
  • A mission statement or set of values paraphrased from memory rather than the company's site
  • An executive or hiring manager's name that is wrong or out of date
  • Awards, rankings, or growth figures with no source
  • A competitor's product described as the employer's

A self-check prompt#

Prompt: claims check before sending

List every factual claim in this letter. Label each as ABOUT ME or ABOUT THE COMPANY.

For each, quote the line from my inputs in this chat that supports it, or write UNSUPPORTED.

[paste final letter]

The prompt catches most drift. It does not replace your own check, because the model can misattribute sources too. The free cover letter checker gives a separate read on personalization, structure, and tone.

Privacy: what to share with ChatGPT#

To write a cover letter, ChatGPT needs your experience and the job, not your identity. Keep it that way.

What to remove before pasting#

  • Your name, phone number, email, and street address
  • References' names and contact details
  • Salary history and current compensation
  • Confidential details about your current employer, clients, or unreleased work
  • Any government ID numbers or dates of birth

Check your data settings#

Most AI assistants let you control whether your chats can be used to improve their models. Anthropic, for example, says consumer chats are used for training only if you allow it through its Model Improvement setting, per its privacy center. ChatGPT and other tools have their own data controls and temporary or private chat options. Review them before pasting your resume.

Keep job searching off work accounts#

If your current employer provides an AI assistant, do not use it for your job search. Company tools may log activity, and drafting a letter to a competitor on a work account is a risk even where policy technically allows it. Use a personal account on a personal device.

Note

A simple routine: draft in a chat with no contact details, then add your name and contact block only in the final document you send.

Format, length, and where the letter goes#

The best letter still fails if it lands in the wrong format. Match the application method.

Choose the right format#

  • Portal upload field: Save as PDF with a clear name, such as "Firstname-Lastname-Cover-Letter.pdf"
  • Portal text box: Paste plain text with no greeting block; keep to the box's limit
  • Email application: Put a short version in the email body and attach the full letter only if asked
  • No field at all: Use the portal's "additional information" box, or send a brief note to the recruiter

Many portals offer a cover letter field or an open text box near the end of the form. Tips for each major system are in how to apply through Workday, Greenhouse, and Lever. Layout and spacing rules for a full letter are in cover letter format.

How long each part should be#

A strong letter spends most of its words on proof. The model below shows a typical word budget for a 300-word letter.

Illustrative: word budget for a 300-word cover letter

A sample split by paragraph, not survey data

Opening: role and reason: 55wordsProof: two results: 130wordsFit: company and first focus: 70wordsClose: next step: 30wordsGreeting and sign-off: 15words
  • Opening: role and reason55words
  • Proof: two results130words
  • Fit: company and first focus70words
  • Close: next step30words
  • Greeting and sign-off15words

Illustrative example, not survey data.

View data
LabelValue
Opening: role and reason55words
Proof: two results130words
Fit: company and first focus70words
Close: next step30words
Greeting and sign-off15words

If your draft spends more words on enthusiasm than on evidence, rebalance it before sending.

A complete example, start to finish#

Here is a short letter assembled with the prompts above and edited with the humanizing pass. The details are fictional but realistic.

Example: edited cover letter for a customer success manager role

Dear Ms. Alvarez,

I'm applying for the Customer Success Manager role on your mid-market team. Your move to annual contracts this year is a shift I've helped manage before, and I'd like to do it again with a product I already use.

At my current company, I own 42 mid-market accounts worth $3.1M in annual revenue. When we moved those accounts from monthly to annual billing, I built a renewal playbook with 90-, 60-, and 30-day check-ins. Gross churn fell from 11% to 7% in the first year, and two of my accounts expanded to enterprise plans.

Your posting mentions onboarding as the biggest lever for retention. In my first 60 days, I'd review how new mid-market customers reach their first value milestone and flag where they stall.

Would you be open to a 20-minute call next week? I'd be glad to walk through the playbook.

Best regards,

Jordan Lee

It runs about 190 words in the body, opens with a verified company detail, proves fit with numbers, and closes with a specific ask. For more complete examples across roles, see how to write a cover letter.

What changed from the first ChatGPT draft#

  • The opening sentence was rewritten from scratch around a verified company change
  • Three adjectives were replaced by account count, revenue, and churn figures
  • A paragraph restating the posting's requirements was cut entirely
  • The closing line became a direct question with a time frame

Your next steps#

Start with inputs, not prompts. For the next job you want, fill in the input sheet: three requirements, three achievements with numbers, and two company facts you verified yourself. That 15 minutes is what makes the letter specific.

Then run the prompts paragraph by paragraph, assemble the best options, and do the five-pass humanizing edit. Search for placeholders, check every claim, and match the format to the application method.

Reuse what works. Save your session brief and best prompts, and keep a short library of proof paragraphs you can adapt. The same evidence-first approach powers your resume too; see ChatGPT resume prompts for section-by-section prompts. If you would rather start from your existing resume, the free cover letter from resume tool drafts a matching letter you can then edit with the passes above.

Frequently asked questions

Yes. ChatGPT is useful for structure, first drafts, and tightening your wording. The letter still needs to be accurate and specific to you and the employer. Give it your achievements, the job description, and verified company facts, then edit the draft heavily. Treat it as a writing partner rather than a ghostwriter, and never send a letter you have not read line by line.

Often, when it is unedited. Recruiters notice stock openers, inflated enthusiasm, phrases copied from the job post, and claims with no specifics. Detection software is unreliable, so the real test is whether the letter reads like a specific person who knows the role. A letter with concrete results, real company details, and your own phrasing reads as yours regardless of the tools used.

The best prompts include five things: the role and company, your two or three most relevant achievements with numbers, verified facts about the employer, constraints such as word count and banned phrases, and the format you want. Ask for each paragraph separately with several options rather than one complete letter. Then combine the best parts and edit for voice.

Aim for about 250 to 400 words in three or four short paragraphs. ChatGPT tends to run long and add filler, so set a word limit in the prompt and cut further during editing. If the application uses a text box or an email, shorter is better: 120 to 200 words with one strong proof point is often enough.

Start from your own notes, then edit the draft in passes. Replace the opening with a specific reason you want this role, swap adjectives for facts, cut any sentence that could appear in anyone's letter, vary sentence length, and add one detail only you would know. Reading the letter aloud is the fastest way to catch phrasing you would never use.

Usually there is no need, just as you would not mention a grammar checker. What matters is that every statement is true and the letter reflects your own judgment. If an application explicitly asks about AI use, answer honestly. Be ready to discuss anything in the letter during an interview, since that is where generic or inflated claims get exposed.

It can be if you take precautions. Remove your name, phone, email, and address before pasting, and leave out confidential employer details and any ID numbers. Check your data settings to see whether chats may be used for training, and use a private or temporary chat if your tool offers one. Add your contact details back only in the final document.

Sources

  1. Cover Letters: Do They Even Matter? (Field Experiment and Hiring Manager Survey), ResumeGo
  2. The Hire Standard: Recruiting Benchmarks, Greenhouse
  3. Prompt engineering guide, OpenAI
  4. Prompting best practices, Anthropic
  5. 34% of U.S. adults have used ChatGPT, about double the share in 2023, Pew Research Center
  6. Is my data used for model training?, Anthropic Privacy Center

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