The following resources are organized or created through this site's editorial process. Educators, student groups, career centers, professional communities, media publications, and individual writers may link directly to these stable landing pages:
- 12-point AI PM portfolio check: prioritize revisions against a public rubric without uploading your material.
- AI PM portfolio guide: organize problem evidence, AI trade-offs, evals, failure handling, and personal contribution, with a copyable portfolio outline.
- AI PM resume guide and template: turn projects, evaluation metrics, and personal contribution into reviewable resume evidence, with a resume template.
- AI product evaluation framework and CSV template: structure tasks, risk slices, rubrics, and human-review records. Every example is synthetic and does not represent real model performance.
- AI PM interview question practice: practice product judgment, RAG, agents, evaluation, and project deep dives with an independent rubric for every question type.
For teaching, sharing, and resource directories, link to the landing page above. A landing page preserves the purpose, limitations, update date, and attachment entry point. Attachment URLs may change between versions and should not be the only citation target.
- You may link directly to the public landing pages without asking first. No reciprocal link is required.
- When naming a resource, use its displayed title, page update date, and original URL. Do not imply an unconfirmed affiliation or endorsement.
- Email us before reproducing a substantial part of a page, adapting a template, rehosting an attachment, creating a mirror, or including the material in a commercial resource pack. Permission is not granted until you receive a response confirming the scope.
- Do not remove synthetic-data or simulated-project notices, usage boundaries, or risk warnings. Practice results must not be presented as real company work or business outcomes.
- OfferKu does not sell search links, buy backlinks, or exchange fabricated reviews, partner marks, or ranking promises for links.
This page does not display unverified partner names, logos, user counts, or outcome claims. Public resources may be reviewed independently, and every organization should decide whether to include or recommend them based on the actual material.
We are recruiting up to three real, explicitly authorized AI PM portfolio revision cases to show the full sequence: original draft → 12-point rubric → revised draft → rescore. Applying does not guarantee selection, and no positive review, public endorsement, or backlink is required in return.
Before submitting, confirm these boundaries:
- You have permission to submit and display the material. Do not send confidential information belonging to an employer, client, school, or teammate.
- The original and revised drafts must come from a real revision process. Simulated projects must remain clearly labeled as simulated.
- Before publication, you will receive the proposed public version for confirmation. Names, email addresses, phone numbers, schools, employers, project code names, internal links, and other identifying details will be removed.
- You may authorize only selected pages or excerpts. Nothing is published without written confirmation of the exact scope.
- You may withdraw before publication. We will act promptly on later removal requests, but cannot guarantee removal of copies already cached, quoted, or downloaded by third parties.
- Selection means only that the material helps explain a revision method. It does not imply an offer, hiring outcome, or business result.
To participate, email [email protected] with the material type, whether the project is simulated, and what must be retained or removed. You do not need to attach the full source file in the first message.
For republication requests, joint events, curriculum resource listings, university pilots, or corrections, email [email protected].
Use a subject such as “OfferKu collaboration request + organization or project name” and include:
- Your name or responsible team, organization name, and a verifiable homepage;
- The page URL or resource you want to use;
- The use case, publication channel, intended audience, and expected date;
- Whether you will copy text, modify a template, rehost a file, or use it in a paid offering;
- The specific action or confirmation you need from OfferKu.
Messages that only propose link exchanges, promise rankings, or do not identify a real use case are not treated as collaboration requests. Universities and career centers can also review the University / Career Center Annual Pilot before contacting us.
