Last week, our company needed to hire an on-site operations engineer. I used AI to screen 310 resumes in just 30 minutes and identified 6 qualified candidates.
All I did was state one requirement, then scrolled through my phone for half an hour while the system worked. By the time I looked up, all 6 candidates had confirmed interview times.
Screening 310 Resumes in 30 Minutes
Last week, we urgently needed to fill an on-site operations position. I had the AI start collecting resumes. Twelve hours later, 310 resumes were sitting in my dashboard. I simply said, "Help me find 6 suitable candidates." After scrolling through my phone for another 30 minutes, I checked the results—the 6 candidates were confirmed and interview times had been scheduled. While my colleague was still manually filtering resumes, I had already arranged all the interviews.
How I Built a Recruitment Agent System with SoloEngine
Designing Your Agent Team Based on Your Business Needs
I opened the SoloEngine canvas and started building this recruitment Agent team.
First, I created a Lead Agent. This Lead Agent served as the brain of the entire team, responsible for developing recruitment plans, assigning tasks, and coordinating the work of subordinate Agents.
Then, I created two execution Agents: a Resume Collection Agent and a Screening Agent.
The Resume Collection Agent was responsible for engaging with candidates, collecting resumes. It automatically reached out across platforms, initiated conversations with candidates, collected resumes, and organized the information.
The Screening Agent handled reading resumes, scoring candidates, and exporting to Excel. It would carefully review each candidate's information according to my requirements and provide a match rating.
Finally, I connected all three Agents, allowing the Lead Agent to manage and coordinate their work. When the Resume Collection Agent completed its task, it automatically handed off results to the Screening Agent. Once the Screening Agent finished, it delivered the final candidate list to the Lead Agent for follow-up coordination.
In just three minutes, it was all set up.
Issuing Commands
I told the Lead Agent, "Help me hire an on-site operations engineer. I'm looking for candidates with 2+ years of experience, based in Beijing, with salary expectations of 15,000-20,000 RMB."
The Lead Agent received the task and developed its own recruitment plan. It directed the Resume Collection Agent to gather resumes from various platforms.
After 12 hours, the Resume Collection Agent completed its work. During those 12 hours, it automatically searched for candidates across platforms, sent outreach messages, engaged in conversations, and collected resumes—310 clean, organized entries sitting in the database.
Next came the Screening Agent. It began reading through these resumes one by one, extracting key information, scoring candidates, and exporting to Excel. Name, education, work experience, salary expectations, match rating—every row clearly laid out.
Thirty minutes later, the Screening Agent finished its task. Honestly, I was a bit uneasy, so I opened the Excel file to review it myself. The analysis was even clearer than what I would have produced—it not only provided scores but also gave detailed analysis, noting each candidate's strengths and weaknesses.
I handed the top 6 candidates to the Lead Agent to arrange interviews.
The Lead Agent independently confirmed available times with interviewers, then automatically sent emails to candidates to lock in their appointments, and even generated a scheduling sheet.
In the end, all 6 candidates were successfully coordinated.
AI Anxiety Has Finally Reached HR
I've been thinking about this: If an HR professional's work can be done by AI in 30 minutes, where does HR's value lie?
Previously, our company spent 2,750,000 RMB upgrading to a full-process AI office system. It used workflow design to handle all business operations, including AI recruitment. However, these tools required manual intervention at many steps—collecting resumes yourself, screening resumes yourself, coordinating interview times. After pushing it hard for over half a year, the company was in chaos. Error rates spiked; sometimes it was even less efficient than letting experienced employees handle things manually. Eventually, it was discontinued.
But now, things are different. With tools like SoloEngine, the AI battlefield has expanded from programmers to other office workers—HR, administrative staff, finance, legal assistants, all traditional "white-collar" roles are being rapidly replaced.
Not those roles that genuinely require interpersonal communication and emotional care. But rather those involving repetitive, structured tasks with clear rules. When I first heard about "Vibe Coding" replacing programmers, I felt AI was still far from my reality. After all, most people aren't programmers, don't understand AI, and can't configure such complex tools. But SoloEngine has lowered the barriers so much. You don't need to know coding, don't need to be a programmer, don't even need to understand AI—it can all be done on a visual interface. Beyond issuing commands, you don't need to perform any operations.
What's more, the announcement mentioned that a one-click distribution feature will be added in the future. If one person in your company has figured out the workflow, you can distribute it to everyone with one click. They won't need complex configuration, won't even need to design their own Agent teams—just install and use.
When barriers are lowered this much, what does it mean? It means you used to need someone who could configure Codex, work with command lines, install OpenClaw, and constantly debug. But now, none of that is necessary.
What used to require 10 people can now be done by 1 person plus AI. It means many positions will gradually disappear. It's not that AI is so powerful—it's that the barriers are so low. Anyone can use it, can quickly build their own Agent team.
Closing Thoughts
The day I finished using SoloEngine, I sat at my desk for a long time, stunned. Not because of how powerful it was, but because I was thinking about a very practical question: If the work I do every day can be completed by AI in 30 minutes, what is the point of my existence?
Those repetitive, structured tasks that used to occupy my 8 hours—AI finishes them in 30 minutes. What happens to the remaining time? Where do I go? What should I do?
I don't have an answer to this question. But I know one thing: People who can use AI will replace those who cannot. That's the only truth I believe in right now.
Top comments (1)
Turning a Beijing ops-engineer search with a 15,000-20,000 RMB salary band into 310 resumes, then narrowing it to 6 interviews in 30 minutes, is exactly the kind of structured workflow AI is good at. The part I would not skip is the audit layer: why the Screening Agent rejected someone, which requirement carried the score, and where a human reviewed borderline cases. For a founder, the win is not "replace HR"; it is converting resume collection, Excel scoring, and calendar coordination into a repeatable pipeline while keeping judgment, fairness, and candidate experience visible.