Custom per role · Limited weekly capacity

Your next hire shouldn’t start from a blank screen.

Headstart turns a real job description into a custom AI playbook your new hire opens on day one — task-by-task workflows, copy-pasteable prompts, and practical guidance built for their actual responsibilities.

Built per role. Most packages ship within a day of intake.

A one-off AI playbook for one role at one company. Send the job description. We map every responsibility into an AI workflow your new hire can use on day one. Compatible with ChatGPT, Claude, and Microsoft Copilot.

What gets mapped

One role at a time. Built from the JD you already wrote.

Headstart works across most entry-level and mid-level knowledge-work roles. A few of the patterns we’ve mapped:

A deeper look

Every line of the role, mapped.

One row from a package we built for a real open role. The full sample maps eight responsibilities like this.

One responsibility from the JD

“Build and maintain the weekly marketing performance dashboard — MQLs, CAC, spend, and pipeline by channel, pulled from HubSpot and the CRM.”

What ships in the package

A custom workflow that takes the HubSpot and CRM exports, runs the dashboard prompt, and outputs a clean weekly report with the headline movement at the top and a one-line so-what per channel — ready for the analyst to review and ship.

Analyst time on this responsibility, every week

Before

Half a day

With the Headstart playbook

About 20 minutes

Eight workflows like this one in the full sample.

See all 8 mapped workflows →

Why new hires benefit most

AI doesn’t replace ramp-up. It compresses it.

Newer workers gain more from AI than experienced workers do. They’re the ones who don’t yet know where the data lives, what good work looks like, or how the team uses tools. Headstart hands them the workflow on day one — they spend week one shipping first drafts, not figuring out the org.

34%

productivity gain for newer workers using AI, vs. 14% for experienced ones — roughly 2.4× the boostfor the hire who hasn’t ramped yet.

Brynjolfsson, Li, Raymond — NBER 2023 · n=5,179

How a package gets built

Three steps. One day. No interview.

01

Send the role.

JD link plus the hiring manager's name. That's the entire intake. No forms, no discovery calls.

02

AI maps every line.

Our system reads the full job description and, within a day, the playbook lands in your inbox: every responsibility mapped to a copy-pasteable AI workflow, with prompts, example outputs, and a manager handoff guide. Compatible with whichever AI tool your company already uses.

03

Your hire ships work in week one.

They open the playbook on day one and start with workflows instead of a blank screen. The responsibilities the JD names — the ones a new hire would usually figure out over the first few months — they execute in week one, with AI doing the prep and them owning the judgment.

What you get

A concrete, usable artifact.

Not a consulting deck. Not a platform login. A self-contained playbook your new hire opens on day one and your manager hands off in their first 1:1.

Practical-use guarantee

Practical-use guarantee. If the package doesn't identify at least three AI-assisted workflows your team can realistically put to work, email us and we'll refund the full amount. No forms, no questions.

We’d rather build a long relationship than win one transaction. If you run this in-house and never need us again, that’s a win. Tell a peer at the next industry event.

Next step

Send us a role. We’ll build the playbook.

Send the JD link and the hiring manager’s name. Within a day you’ll have a custom AI playbook your new hire can open on their first morning instead of staring at a blank screen.