AI job search system
Chatbots answer questions. A career OS remembers your path: resume → search → apply → learn → return.
Not a chatbot
“Rewrite my resume” chats discard context when the tab closes. They also invent bullets. MyCareerAtlas is an AI Career OS: a confirmed record, real ATS discovery, and execution in the browser with a human gate. The model helps. It does not own the truth.
The flywheel
- Resume — confirm Career Memory and tracks
- Search — ATS boards plus LinkedIn you open
- Apply — prefill and prepare; you approve
- Learn — save, skip, and confirmed applies become signals
- Return — daily matches, capped and fresh
That loop is the product. Agents, match scores, and the extension are how the loop runs — not a separate “AI mode.”
One role, start to finish
Say a Staff Backend Engineer posting shows up on a company's Greenhouse board. Here is what actually happens, in order, and where AI touches it versus where you do:
- Discovery reads the board, normalizes the listing, and adds it to your catalog — no model call yet, just data.
- The match engine compares the JD's requirement phrases against the skills, experience, and tracks you confirmed in Career Memory, and produces dimension scores plus a WHY — this is the one step that calls a model, and its output is a proposal you can inspect, not a verdict.
- You see it in Recommended with two missing skills flagged: distributed tracing and a specific queueing system the JD asks for. You decide it's worth pursuing anyway — that decision is yours, not the model's.
- Assisted mode drafts an application from your confirmed answers, leaves the two gaps visible instead of inventing an answer for them, and drops the whole thing into Action Required.
- You review it, edit anything you want, and click submit yourself. Status becomes Applied only after that confirmed action.
- Whether you got an interview later can feed back into Career Memory as a signal — a proposal to strengthen a skill's confidence, again something you confirm, not something that rewrites your record on its own.
Notice how much of that loop has nothing to do with AI at all — discovery is plain data normalization, the approval gate is a UI rule, and Applied is a confirmed status, not a guess. The model does exactly one job well: turning a job description and your memory into an explanation you can act on.
Where AI is allowed
- Parse a resume into proposed memory
- Explain a match with dimensions and missing skills
- Suggest answers from memory when a form asks again
- Propose tracks from confirmed behavior
Every one of those is a proposal until you confirm. Provenance stays on the item.
Where AI is not allowed
- Silent overwrite of verified memory
- Unexplained match percentages
- Silent application submit
- Resume generation as the product center
Frequently asked questions
- Is this an AI that applies for me?
- Assisted Auto Apply can discover and prepare applications, but silent submit is forbidden — you manually approve before anything is submitted.
- What makes it a system instead of a chatbot?
- Durable Career Memory, browser capture, ATS catalog jobs, and Career Tickets — not one-off prompts that forget last week’s roles.
- Where does the AI actually run?
- Extraction, match explanations, and prepare use models behind a provider port. You see proposals with provenance. You confirm. The model is not the source of truth.
- Do I talk to agents all day?
- No. Focused agents exist under the hood. Normal use is Memory, Jobs, Applications, and the extension — not an agent chat zoo.
Related
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