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LinkedIn recommendation generator
Write a warm, specific recommendation for a colleague from your own notes about their work. Write a recommendation for a colleague in minutes. Say who they are, how you worked together and what they did well, and get a warm, specific recommendation built only from your notes.
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How to use it
- Name your colleague. Write the name of the person you are recommending as you want it to appear. The recommendation uses their name and the pronouns your notes use.
- Say how you worked together. Describe your working relationship, such as their manager, a teammate or a client, and for how long. Readers trust a recommendation more when they know how well you know the person.
- Add specific notes. List what they worked on, results with the real numbers, their strengths and a moment that shows how they work. Specific notes produce a specific recommendation instead of generic praise.
- Read it and send it. Check that every detail is accurate and sounds like you, adjust anything you would say differently, then paste it into the recommendation on your colleague's profile.
Example
What was entered
- Colleague's name
- Marcus Lee
- How you worked together
- I was his team lead for two years
- What they did well
- Marcus rebuilt our deployment checklist, which cut rollback incidents in half. He sat with each engineer to learn where releases went wrong. He mentored our 2 newest engineers through their first on-call rotations and both said they felt calmer. He writes clear, honest updates …
What the tool wrote
I am glad to recommend Marcus Lee. I was Marcus's team lead for two years, and he was the person our whole team relied on when a release got complicated.
Marcus rebuilt our deployment checklist, which cut rollback incidents in half. He did it by sitting with each engineer, learning where things went wrong and turning that into steps anyone could follow. That patience showed up everywhere: he mentored our 2 newest engineers through their first on-call rotations, and both told me how much calmer they felt because of him.
What stands out most is how he communicates. When a problem affected customers, Marcus wrote clear, honest updates for the support team, so they always knew what to tell people and when.
He is thoughtful, dependable and generous with his time, and he makes the people around him better at their jobs. Any team would be lucky to have Marcus, and I recommend him without hesitation.
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Related free tools
- Letter of recommendation generator: Write a specific letter of recommendation for a colleague, employee or student from your own notes about them.
- LinkedIn post generator: Write a natural post about an achievement, a lesson, a job search update or a thank you.
- LinkedIn About section generator: Turn your resume into two first-person drafts for your LinkedIn About section.
- Self-evaluation generator: Turn rough notes into a self-evaluation with accomplishments, growth areas and goals, written from your own facts.
Related guides
Frequently asked questions
What makes a good recommendation?
It says how you know the person, names one or two specific things they did and the result, describes a strength with an example, and ends with a clear endorsement. Specific details are more convincing than general praise such as hard working or team player.
Does the generator make things up?
It is told to use only the facts in your notes, and every result is checked before you see it: any number, degree or name we can't find in your notes is highlighted for you to confirm or remove before you copy it.
Who is the recommendation written as?
It is written in your voice, as the person giving the recommendation, about the colleague you name. It does not add job titles, employers or results that your notes do not mention, so include the details you want it to cover.
How long is the recommendation?
Each recommendation is between 120 and 200 words in a few short paragraphs: long enough to include real examples and short enough that a hiring manager will read it to the end.
How many recommendations can I write for free?
Five generations a day with no account, shared with Applystead's other free AI tools such as the letter of recommendation generator and the LinkedIn post generator. Each click of the button that returns a result counts as one generation, and the allowance resets at midnight Pacific time.
Is what I type stored?
No. Your text is sent to Applystead only to write the recommendation and is not stored. Nothing is saved to an account, and there is no account to create. Copy the result you want before you leave the page.