[All guides](https://openbot.run/guides) # 20 Real AI Agent Examples for Work and Business Explore 20 practical AI agent examples for research, content, coding and daily operations. Each OpenBot task ends with a result you can review. Oct 20, 2026 Norbert Bodziony The best AI agent examples begin with a task you already do and end with a result you can check. That might be a research brief, a draft email, a proposed code change or a cleaned spreadsheet. You do not need to hand an agent the whole business to make it useful. In OpenBot, you can give an agent instructions, let it work with files and approved web pages, and return to the same conversation later. You can also pass work to another agent when a separate reviewer or writer helps. The 20 examples below are tasks to try, not customer case studies or promises that every result will be correct. ## Research and knowledge 1. **Compare vendors.** Ask a research agent to read three official pricing pages and save a table with prices, limits and links. Check the dates and any unclear terms before choosing a plan. 2. **Track documentation changes.** Give an agent last month's saved documentation and the current pages. Ask for a short list of additions, removals and changed instructions, with links you can open. 3. **Prepare for a meeting.** Supply the agenda and your notes. Ask the agent for a one-page brief with open questions. Check that it labels guesses as guesses. 4. **Answer a question from approved files.** Give the agent a policy or product guide and ask it to point to the passage behind each answer. If the files disagree, the result should show the conflict. 5. **Build a source brief.** Ask the agent to collect claims, dates and source links about one topic. A writer can then use the saved brief without relying on an unsupported summary. ## Content and marketing 6. **Make a content brief.** Provide the audience, topic and approved keyword list. Ask for an outline, reader questions and a source plan. Do not let the agent invent search-volume numbers. 7. **Refresh an old article.** Give the agent the article and current release notes. Ask it to propose only the paragraphs that need an update and to list the facts you should check. 8. **Turn one approved article into other drafts.** Ask for a newsletter introduction and two social posts. Read them before publishing; short versions can lose an important caveat. 9. **Check brand language.** Save your style guide in the agent's workspace. Ask it to flag terms that do not match the guide and suggest exact edits, not a vague score. 10. **Summarize a campaign export.** Give the agent an approved CSV file and define the metrics you need. Ask for a short report plus the calculations, then compare its totals with the file. ## Software and product work 11. **Investigate a bug.** Give a coding agent the issue and access to the relevant repository. Ask it to reproduce the problem and save its findings before changing code. 12. **Review a proposed code change.** Ask another agent to inspect a pull request and report specific problems with file locations and a failure scenario. A person still decides which comments are valid. 13. **Update instructions after a code change.** Ask the agent to compare a merged change with setup documentation and propose a documentation patch. Run any changed steps yourself before publishing them. 14. **Draft release notes.** Give the agent the merged changes and your writing style. Ask for notes that separate what has shipped from what is still planned. 15. **Plan a dependency update.** Ask the agent to read the official migration guide, find affected code and list likely tests. Review the plan before it installs or changes anything. ## Daily operations 16. **Draft a support answer.** Supply the customer's question and approved help material. Ask for a reply draft with any missing account details clearly marked. A support owner checks it before sending. 17. **Find possible duplicate contacts.** Give the agent a CRM export, not write access to the live CRM. Ask for a list of record IDs that may match and the reason for each suggestion. You decide which records to merge. 18. **Write a weekly project update.** Provide issue and document exports. Ask the agent to separate completed work, open work and items it could not verify. 19. **Check a data file.** Ask the agent to find missing values, duplicate rows and dates in the wrong format. Keep the original file and review the proposed cleaned copy. 20. **Report unusual changes.** Give the agent this week's figures and an accepted baseline. Ask it to show the biggest differences and say “no significant change” when that is the honest result. ## Which example should you try first? Pick a task whose answer you can check in a few minutes. Vendor research, an article update or a report from a small export are good starts. Give the OpenBot agent the input, the result you want, the sources it may use and the actions it must leave to you. Ask it to save a file and mark anything it cannot confirm. Start with one agent. If you later need a second opinion, another OpenBot agent can review the saved file or take a separate writing task. Your review remains the final step for important facts, messages, code changes and publishing. If you have not created an agent yet, start with [How to Use OpenBot](https://openbot.run/guides/openbot-101). ## Frequently asked questions ### Do I need 20 agents for these tasks? No. One agent can handle several related tasks. Add a specialist when its role makes the work easier to check. ### Can an agent do all of this without my review? It may do many steps, but important results still need a person to check facts and approve actions such as sending, merging or publishing. ### How do I know whether a task helped? Look at the accepted result, how much you had to correct and whether the agent showed its sources and uncertainties. A long activity log is not the same as useful work.