Local-first AI job search operating system

The job search should not feel like memory loss.

Find credible roles, keep the search visible, and stop restarting your search every morning.

Built for searches that got too messy to run from memory.

The Iris loop

Scout finds the next role worth deciding on.

Explore the full loop

New roles stay separate from active work, with readable reasons before you commit time.

Local-first context

The search stays close to you instead of getting flattened into another generic app workflow.

Human-readable reasoning

Iris translates system judgment into plain language instead of pretending certainty.

Action-first rhythm

Iris earns trust by telling you what to do next, not by admiring the dashboard.

Core promise

Iris helps you know what to do next.

Today's Mission is the behavioral anchor. It looks at Scout, board state, follow-up pressure, and drift, then turns that into one clear move with a working set and a finish line.

01

Directive, not diagnostic

Iris starts with the move, not the dashboard. You should know what matters before you start interpreting metrics.

02

Explains why today matters

The mission clarifies the main drag on the search, whether it is stale follow-up debt, low supply, or weak pipeline pressure.

03

Shows what done looks like

Completion is visible before you start. That is how the product stays calm without becoming passive.

Iris Ops Dashboard with Today's Next Move, working set, and search status

How the loop works

From decision paralysis to actual forward motion.

When your search starts to sprawl, Iris breaks it into four simple states: review what is new, choose what is worth effort, move the live work forward, and follow through without losing the thread.

Iris Scout page showing discovery inbox and scout update

Discover

Scout opens with a clear review queue.

AI Job Scout keeps new opportunities separate from the live board so you can see what is waiting, what is already in managed work, and how Scout is running before anything gets committed.

  • Discovery inbox stays separate from active work.
  • Board count shows what already moved into managed work.
  • Scout update makes the current run mode visible.

What Iris is made of

Four working surfaces, one visible search.

Each surface answers a different question in the search: what to consider, what is live, what matters today, and what Scout should learn about how you search.

Iris Scout page showing discovery inbox and scout update

Scout

Discovery with standards

Scout is where new possibilities arrive. The point is not to make you feel busy. The point is to surface roles worth deciding on, explain why they surfaced, and keep weak-fit noise off the board.

  • Discovery stays separate from active work.
  • Reasoning is readable before you commit time.
  • Weak fit gets filtered out before it muddies the board.

Scout keeps new possibilities visible without letting them spill into active work too early.

Why this is different

Most job search tools help you track chaos. Iris helps you reduce it.

Where most tools stop Where Iris starts
Endless role lists and loose filters One credible role at a time with readable reasoning
Trackers that remember what happened A board that keeps what is live, stale, and worth effort visible
Dashboards that summarize after the fact Today's Mission that tells you what to do now
Cloud dashboards built for recruiters A personal search system built for the person doing the search

Why the loop matters

How Iris stops the reset loop.

The workflow above shows the steps. This section shows the handoff logic underneath them: context carries forward instead of disappearing between sessions.

System memory

Each surface hands context forward.

New possibility becomes visible work, visible work becomes today's move, and what you learn tightens the next pass.

Discover Hold Move Sharpen

01

Scout

Discover

New roles arrive with readable reasons before they take up space in the live search.

02

Board

Hold

The live search stays visible instead of slipping back into tabs, memory, and half-kept notes.

04

Profile

Sharpen

What the search teaches you feeds back into fit and routing so the next Scout pass gets tighter.

03

Ops

Move

Iris turns drift and board pressure into one clear move with a finish line you can actually see.

Who it is for

People whose search got serious enough that good intentions stopped being a system.

Built for

  • Job seekers running a messy search across real, live opportunities
  • People rebuilding after layoffs, long silences, or broken tracker habits
  • Candidates who need structure and truthful next steps, not motivation slogans

Not trying to be

  • Another generic job board or automation spam engine
  • A vague AI assistant that invents confidence instead of surfacing judgment
  • A dashboard that tells you everything is fine while the search drifts

Why it exists

Built from the mess of a real search, not a pitch deck.

Iris came out of losing context, rebuilding trackers, and trying to stay useful while the search kept breaking trust. That origin matters because it produced a calmer, more practical tool.

The point is not to package stress beautifully. The point is to make the search legible enough that you can keep moving.

Built in public

Shared in the open while the product keeps getting tighter.

Early interest

Job seekers, recruiters, and hiring people are already paying attention.

Closed beta next

Access is rolling out in small waves instead of one noisy launch.

Closed beta

Join the first beta wave.

Join if you want more structure, better judgment, and a clearer next move in the middle of a real search.

Early access rolls out in small waves, starting with people in the thick of a real search.

What happens next

  • Beta access rolls out in small waves, not all at once.
  • Priority goes to people who are actively in the middle of a search.
  • Some early invites will include direct product feedback loops.
  • LinkedIn followers will see product updates and cohort timing first.

This is not first come, first served. It is closer to matching the first cohorts to the people who need Iris now.