AI Job Search OS Kit

A practical folder for turning a broad search into a weekly system: target lanes, market scans, people maps, outreach drafts, application checks, proof artifacts, and review loops that AI can speed up.

How it runs

The kit gives the search a weekly operating rhythm.

Narrow the lane

Pick one target role, field, organization type, or problem area for the next 7 days.

Scan real targets

Choose three roles, companies, programs, or organizations and collect the signals that make outreach specific.

Map people

Attach each target to relevant humans before the search turns into passive applications.

Draft small asks

Use AI to reduce blank-page effort, then keep the final message specific, human, and low-pressure.

Submit with context

Send applications with a matching profile, proof point, follow-up date, and saved version history.

Review weekly

Measure replies, conversations, silence, and proof progress so next week is a better experiment.

Sample output

A preview of the people map and application-contact tracker.

This synthetic example shows the shape of the kit output without using private student data.

People map preview

Civic technology operations analyst

Near-peer analyst

What surprised you most about the day-to-day work?

Policy lab research coordinator

Program alum

Which project examples helped you stand out?

Education technology customer operations

Team-adjacent operator

What skills matter before someone applies?

Application-contact tracker preview

Civic technology operations analyst

Saved

Draft one context question before applying

Policy lab research coordinator

Applied

Ask about project examples and team priorities

Education technology customer operations

Not started

Decide whether role fits the target lane

Kit contents

The deliverable is a folder you can run every week.

README.md

Outcome, folder map, completion condition, and boundaries for the whole kit.

market-scan.md

A weekly lane, three real targets, signal research, and an AI research prompt.

profile-positioning-brief.md

Target-lane positioning for LinkedIn, resume summaries, intros, and proof points.

people-map-and-outreach-tracker.md

A map of relevant people, connection angles, small asks, replies, and follow-ups.

application-checklist.md

Pre-submit and post-submit checks so applications are tied to context and outreach.

proof-artifact-plan.md

A scoped artifact that makes one capability visible before or around the search.

weekly-review.md

A scoreboard for targets, messages, applications, replies, conversations, and next actions.

prompt-library.md

Prompts for lane narrowing, research, outreach, positioning, application review, and proof work.

examples/

A worked example that connects one target lane to outreach and a proof artifact.

After checkout

You get the files and the first action page in the same account.

Launch price: $49.
Checkout grants AI Job Search OS Kit access.
A signed-in buyer returns to the kit access page after purchase.

Scope boundaries

The kit gives you structure for action. Outcomes stay unpromised.

The comprehensive funnel can still stay honest: the low-ticket kit provides reusable structure, while review, accountability, and custom implementation belong in higher-touch offers.

Self-serve only at the kit price.
No job, interview, offer, reply, promotion, client, or revenue guarantees.
No live review, chat, calls, or accountability bundled into the kit.
Human support routes to the Networking Sprint or reviewed workspace when there is clear fit.

Need more context?

Use the reviewed workspace when the search needs research and judgment.