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FOR STUDENTS & EARLY CAREER PEOPLE EXPLORING AI TEAMS

Find AI work worth pursuing.Make your experience count.

Discover public opportunities, decide which deserve an application, and use real projects to show what you can do. ANM supplies role leads; your Agent helps assess, prepare and continue.

No account needed to browse. Deeper preparation needs a computer and an Agent with file and tool access. Tool beta access is free.

START WHERE YOUR SEARCH GETS STUCK

Apply with a clearer reason.

01

Find opportunities beyond your usual list

Interested in AI, but unsure where else to look?

Explore public roles at AI-native companies with official sources, then narrow the list using your interests, experience and constraints.

Take away: a shortlist worth investigating
02

Decide where to spend your effort

A long JD makes it hard to judge your fit?

Your Agent compares role tasks with your experience, showing fit, gaps and unanswered questions. Decide whether to apply, ask, prepare more evidence or move on.

Take away: a reasoned application decision
03

Show what your project says about you

Your project description reads like a list of tools?

Separate your decisions and delivery from team and AI contributions. Build role-specific material from real evidence, and reuse confirmed facts from your own workspace next time.

Take away: a checkable contribution summary and draft

Start with what matters most: finding the right company, assessing an opportunity or explaining your contribution.

Solve one problem, then decide whether to continue.

AVAILABLE NOW

Bring one role to your own Agent

Follow the Skill and CLI guide, bring one JD and a shareable project description, then review the assessment and draft before applying. External roles use official channels; in-platform applications are limited to open roles. You handle login, CAPTCHA and steps requiring personal confirmation.

Copy a starting prompt ↗

Your local workspace keeps material reusable. Cloud model use depends on your tools and settings. You confirm sharing and applications. How data is used

10-PERSON SEED STUDY

Help improve the product with a real task

Join a 1–2 week study: a roughly 60-minute task session, a 20-minute follow-up and optional use between sessions. Share problems, discuss priorities and receive a response from the team. Email and WeChat are required; we confirm the schedule with you.

See the study and apply ↗

Deeper employer matching, interview preparation and ongoing feedback remain under validation. Study feedback comes from the product team, not an employer.

Start with one role you would like to pursue.