Stop Maximizing Attention. Start Maximizing Opportunity.

Both products had the same information. Both knew Alex is a Staff Data Engineer, what he has published, who is hiring for his skills, and which of his skills are invisible. One used that to sell him a subscription. The other used it to tell him something true and useful within four seconds.

This is not a failure of execution. Somebody wrote down time spent and sessions per week, and a very competent engineering organisation optimised for them for fifteen years, brilliantly.

So I built the alternative instead of writing another complaint about it. CareerOS is a working interactive prototype — nine screens, seven modes, all of it clickable: open it here. This is the design spec behind it.

01 What Professional Intelligence actually means

The category has been described for years. It has never been defined.

Social networking connects people. Professional networking connects people and calls it a career tool. Neither reasons about your situation. So here is the definition I would defend:

That definition has teeth. It rules out almost everything currently sold as career software, including most of what has “AI” in the marketing.

02 The same product, three different people

Intent is an input, not a profile field.

A person in the same job wants completely different things in different months. In March they are hiring. In September they are quietly looking. So CareerOS puts a control in the top navigation reading Today I am, with seven states. Changing it re-ranks everything.

03 Evidence, not endorsement

A skill nobody can point at is a claim.

Endorsements measure reciprocal politeness, and everyone involved knows it. CareerOS does not count them. Every skill carries its evidence, and — the part that makes people uncomfortable — the gaps a hiring manager would find anyway.

Note the framing of the gap. Not a percentage — a count of real roles. “Your Kubernetes signal is 54%” motivates nobody. “One gap is holding twelve roles below your threshold, and you already did the work — you just never published it” is a Tuesday evening task.

04 A score you can audit, and switch off

The alternative to a mysterious number is not no number.

CareerOS shows a reputation score — 782 out of 1000 — across eight dimensions, each one expanding to reveal exactly what it was computed from: three architecture articles, two peer endorsements from engineers who reviewed the work, four verified project outcomes, recent work weighted more heavily.

Four things keep it from being dystopian. It is visible only to its subject. Low-sample dimensions are labelled provisional rather than scored confidently. Follower count is excluded, and the panel says so. And there is a Hide button that works and does not nag.

The dimension that earns the design is leadership: 61 — the lowest of the eight, sitting directly under technical credibility at 88. A reputation panel that only tells you what you are good at is a compliment, not an instrument.

05 The agent explains; it does not nudge

Five findings a quarter, each one an evidence chain.

“Career AI” usually means a prompt to post more. The CareerOS agent is bound to a schema, and every finding must fill all five slots: what happened, why it matters, the evidence, one recommended action, and the expected benefit against the effort it costs.

The schema does the real work by what it forbids. “Improve your profile.” “Network more.” “Stay active.” None of them can fill five slots — which is the entire reason the slots exist.

Here is one finding, complete:

This idea is bigger than the space it gets here, and it deserves its own piece. I am writing it.

06 The uncomfortable numbers stay on screen

This is where the thesis costs something.

Recruiter trust. Every recruiter carries eight aggregated metrics — response time, ghosting rate, interview transparency, role accuracy. One recruiter in the prototype has a 54% response rate and elevated ghosting, and it is shown, with a confidence range and a note that agency recruiters often carry roles whose process they do not control. Metrics are suppressed below ten responses. The purpose is calibration, so you know how much hope to invest in a conversation.

Your real odds. One job card reads: “Low odds, worth reading. An internal candidate is already in the process.” No job board tells you this, because telling you costs them an application.

Whether the role is even real. Every role carries a verification date and a plain statement. Saved roles are re-verified weekly and archived when they close, so nobody spends an evening preparing for a role that shut eleven days ago.

And the primary button on a job card is not Apply. It is View role story — why the role exists, what the first six months actually look like, what happened to the last two people in the seat. One-tap apply optimises application volume, which serves the platform and nobody else in the transaction.

07 How you would know it worked

A different objective needs a different scorecard.

This is the most likely place for the whole idea to quietly die — eighteen months in, when someone builds a growth dashboard out of habit.

The honest tension is a business one, and it is worth naming rather than hiding: a product that works this way gets used less. The user gets what they came for and leaves. That is fatal under advertising and fine under subscription, or fees tied to actual hires. You cannot adopt the thesis and keep the business model — and pretending otherwise is how a thesis erodes one quarter at a time.

Professional networking optimized attention.
The next generation should optimize human opportunity.

Alex still has twelve interviews he cannot see. The information needed to find them already exists, on a platform he already pays attention to. That is not a technology problem. It is a choice about what to rank.

If you work on a professional network and any of this reads as naive, I would genuinely like to hear which part. The constraint I am underestimating is more interesting to me than the agreement.