Run your job search like an operator, not a hopeful applicant.
A practical AI system for CV tailoring, LinkedIn positioning, recruiter outreach, company research and interview prep — chained into one repeatable workflow.
Job search is a workflow, not a moment of inspiration.
Most people run it as if it were — applying in bursts, rewriting the CV from scratch each time, walking into interviews under-prepared. A system fixes the pattern, not the effort.
- Generic CVOne CV sent to every role — tuned for nobody, beating no ATS.
- Weak LinkedIn positioningHeadline, About and experience all written for an audience of nobody in particular.
- Cold recruiter outreach that failsTemplated DMs that read exactly like every other one in their inbox.
- Surface-level company researchYou know the website. You don't know the strategy, the team, or what they're really hiring for.
- Under-prepared interviewsFirst time articulating your story is in the actual interview.
Built around real workflows.
If you're running a deliberate, considered search — not spraying applications — this system gives the search a structure that compounds.
Six steps. Run per role, not once per search.
The system is designed to be re-run for each role you genuinely want. The CV, the outreach, and the prep all become specific to that role.
Tailor the CV to the role you actually want, not the one your last manager wrote.
How to run it: Paste the job description and your existing CV. Have the model rewrite the summary and rework bullets to match the role's language.
Make the first 15 seconds on your profile work for the move you're making.
How to run it: Generate a new headline, About section, and top-experience bullet — anchored to the kind of role you're targeting.
Walk into every conversation with real context.
How to run it: Prompt the model to summarise the company: business model, recent signals, strategic direction, and what they appear to be hiring for.
Send messages that don't sound like every other applicant.
How to run it: Generate short, specific outreach: one line on what they're working on, one line on you, one clear ask. No paragraphs.
Practice the answers before the interview, not during.
How to run it: Have the model run a mock interview based on the role and your CV — then tighten your answers to the 5 questions most likely to come up.
Compare offers without spreadsheet theatre.
How to run it: Use the model to structure a short pros/cons/risks breakdown per role — then make the call yourself.
The prompts that run the system.
Tested across GPT-5, Claude Sonnet, and Gemini 2.5. Replace anything in {curly braces} before sending.
Here is the job description:
"""
{JOB_DESCRIPTION}
"""
Here is my current CV:
"""
{CV}
"""
Rewrite the summary section in 4 lines, anchored to this specific role.
Then rework my 5 most relevant bullets so they:
- Lead with outcome and metric
- Use the language from the job description where it's honest
- Cut anything not relevant to this role
Do not invent achievements. If something is missing from my CV that the role wants, flag it as a gap.I want to message {NAME} at {COMPANY} about their {ROLE} opening.
Context on me:
"""
{ABOUT_ME}
"""
Context on them (recent post / hire / launch):
"""
{CONTEXT}
"""
Write a 4-line LinkedIn message:
- Line 1: one specific thing about their work / company (not generic)
- Line 2: one line on what I do, in their language
- Line 3: why this role specifically
- Line 4: a clear, low-friction ask (15-min conversation, not "open to a chat")
No "hope this finds you well". No emoji.You're a hiring manager interviewing me for the {ROLE} role at {COMPANY}.
Job description:
"""
{JOB_DESCRIPTION}
"""
My CV:
"""
{CV}
"""
Run a 5-question interview. After each question I'll answer. Then:
- Score the answer 1–5 on clarity, evidence, and fit
- Suggest one tightened version in 3 sentences
- Then ask the next question
Be direct. Don't soften the feedback.What the system actually produces.
CV SUMMARY (rewritten) RevOps leader with 8 years building forecasting and pipeline systems for B2B SaaS at Series A→C. Owned the move from rep-led to systems-led forecasting at two companies, lifting forecast accuracy from 62% to 89%. Comfortable as the first RevOps hire and as a builder of teams up to 6. LINKEDIN HEADLINE RevOps for Series B SaaS — forecasting, pipeline systems, GTM data you can actually trust. RECRUITER DM Saw your post on rebuilding the forecasting cadence after the new CRO joined — the "weekly at the deal level" shift is exactly the move I made at [Company]. I've been the first RevOps hire twice, both times during a CRO transition. Worth a 15-min conversation about your Head of RevOps role this week?
Where this system tends to break.
AI runs the workflow. You run your career.
Use the system for the work that's repetitive and structural — tailoring, drafting, research, prep. Keep the parts that need you — the story you tell, the conversations you have, the call on which role to actually take.
- CV and LinkedIn drafting
- Company research
- Mock interviews
- Your story
- The conversations
- The decision