# How Much of a Job Search Can You Hand to AI Agents? > Source: > Published: 2026-10-26 01:21:14+00:00 I’m interviewing for **Applied AI Engineering roles**. I’ve set up agents to find suitable jobs, submit applications within limits I’ve approved, and check for recruiter replies. I still supply the work history, stay in touch with people, practice for interviews and make the final decisions. I’ve shared the [skills behind this workflow](https://github.com/shashu10/job-search-skills), so you can adapt them to your own search. **This workflow is only as good as its inputs.** A well-documented work history, thoughtful feedback, close personal contacts, high-quality study material, and clear communication with your recruiter help these AI skills do a much better job. ## Resume prep Keep a **master record** of your experience, preferences and approved resumes. Get feedback from people you trust, then use AI to combine their suggestions. Choose which suggestions to use, [tailor where needed](https://github.com/shashu10/job-search-skills/blob/main/skills/job-resume/SKILL.md), and check the claims and final PDF. **My results:** 101 tailored resume variants. ## Applications I’ve configured [daily jobs](https://github.com/shashu10/job-search-skills/blob/main/skills/job-search-schedule/SKILL.md) to [find suitable roles](https://github.com/shashu10/job-search-skills/blob/main/skills/job-research/SKILL.md) and [submit](https://github.com/shashu10/job-search-skills/blob/main/skills/job-application/SKILL.md) **up to five applications a day in each location**. I’ve authorized these recurring applications within my filters and exclusions. Outreach messages need separate approval. Each run must: 1. **Check fit and duplicates.** Match my location, language and sponsorship requirements. Avoid duplicate applications, skip roles I’ve paused, and seek a referral before applying where I’ve requested one. 2. **Reuse confirmed answers.** Flag missing information instead of guessing. 3. **Update my tracker.** Record the exact requisition, submitted resume, receipt or blocker, and next action. **My results:** 122 applications submitted in the past month. ## Email tracking A separate **[daily inbox check](https://github.com/shashu10/job-search-skills/blob/main/skills/job-inbox/SKILL.md)** matches employer and recruiter replies to applications, updates their status, and flags interviews, deadlines and missing information. *These jobs run locally and use my browser: my computer and Codex must stay running.* ## Referrals and outreach For a role I’m applying to, **I start with personal contacts for referrals.** I use AI with browser access to [find relevant recruiters and engineering leaders](https://github.com/shashu10/job-search-skills/blob/main/skills/recruiting-outreach/SKILL.md) for cold outreach or follow-ups on unanswered applications. I also search existing connections, older recruiter emails and LinkedIn hiring posts. Give it **the exact role and your relevant experience**. Before sending, check that the person covers the team or opening and review the message. *LinkedIn [prohibits unauthorized automated access](https://www.linkedin.com/help/linkedin/answer/a1341387), including bots, and warns that accounts using such tools may be restricted or closed.* **My results:** 11+ personal referrals → 2 interviews. 13 cold contacts → 2 interviews. ## Interview prep I give AI the recruiter’s instructions, job description, resume and **available preparation time**. It identifies the format, duration, evaluation criteria and permitted tools, then [builds a prioritized plan](https://github.com/shashu10/job-search-skills/blob/main/skills/job-interview/SKILL.md). Keep confirmed requirements separate from guesses and practice under the assessment’s actual AI rules. I use it for coding review and project discussions: **what I owned, which decisions mattered and what failed**. My preparation still includes: - **Coding:**[LeetCode](https://leetcode.com/explore/) , tracking which problem types I’ve covered. - **System design:**[ByteByteGo](https://www.youtube.com/@ByteByteGo) and[Hello Interview](https://www.youtube.com/@hello_interview) , my favorite channels for learning from human instructors. - **Applied AI:** Chip Huyen’s*[AI Engineering](https://www.oreilly.com/library/view/ai-engineering/9781098166298/)* , which I’m working through. **My results so far:** 6 interviews, including coding, take-home, and system design. ## Evaluating offers I use AI to [compare potential packages](https://github.com/shashu10/job-search-skills/blob/main/skills/job-offer/SKILL.md) over **12 and 24 months**: - **Cash:** salary, guaranteed versus target bonuses, and sign-on payments. - **Public equity:** vesting dates and share-price assumptions. - **Private-company equity:** separate scenarios for dilution and whether I could actually sell it. Paper value stays separate from usable cash. I also compare estimated take-home pay, housing and relocation costs, alongside **career fit**: responsibilities, team, learning opportunities and direction. This helps me decide what to ask the recruiter and what to negotiate: salary, level, equity or start date. I check the assumptions and terms, then make the final choice. ## Reusable skills I’ve turned recurring procedures into **skills**: saved instructions the assistant can follow. I personally review [these skills](https://github.com/shashu10/job-search-skills). I keep the instructions and supporting material in four places: - `AGENTS.md`**:** priorities and permissions: target roles, locations and salary preferences, plus when to load each skill or reference. - **Skills:** procedures for finding jobs, applying, seeking referrals and[summarizing progress](https://github.com/shashu10/job-search-skills/blob/main/skills/job-pipeline-review/SKILL.md) , with checks and results to record. - **References:** source material: work history, project evidence, approved resumes, recruiter instructions and study material. - **Trackers:** live status: applications, referrals, replies and interview stages, with approvals, deadlines and next actions. The assistant loads the relevant workflow and records for each task. ## How it compares I compared the documented features of a few alternatives: - **Open-source skills:**[ResumeSkills](https://github.com/Paramchoudhary/ResumeSkills) covers resumes, interviews and compensation.[JobAppAgent](https://github.com/vaibhavarora14/job-application-agent) focuses on job discovery, form filling and submission tracking. - **Paid services:**[Simplify+](https://help.simplify.jobs/en/help/articles/5623502-whats-included-in-simplify-features-and-pricing) adds resume tailoring, referral tools and automatic applications on supported jobs.[Teal+](https://www.tealhq.com/tools/ai-interview-practice) expands resume tools and AI interview practice. Both have ready-made interfaces. My workflow keeps your work history, preferences and feedback together across applications, referrals, interviews and offers. You control the instructions and records; setup and tool access depend on your AI agent. Try one skill and tell me what breaks, preferably in a [GitHub issue](https://github.com/shashu10/job-search-skills/issues).