Insta-Apply · autonomous career operations

Insta-Apply, an autonomous career-operations platform

I built Insta-Apply, an autonomous career-operations platform. It watches the job market continuously, builds an evidence-cited dossier on any company in minutes, assembles the full application packet, and submits applications from the member's own browser under a set of laws enforced in code. A cast of voice-native AI headhunters onboards each member by conversation and files every confirmed answer into a private profile graph. The platform itself was built the same way it runs: a managed fleet of twelve coding agents working parallel lanes under loop and graph engineering, each piece landing only after deterministic validation. Doors open 14 September 2026 at the UF AI Day career fair.

Read the white paper → insta-apply.com →

28,080discovery sweeps, Aug 2026

1,100+deterministic test rows

148.5smean dossier build

$0.087cost per application packet

System map

Six layers, strictly ordered.

Data flows down the stack; nothing reaches a submitted application without clearing the gate layer; the ledger under all of it records everything once and never rewrites it.

L1Discovery ledger

Continuous sweeps of the monitored job boards, one immutable record per observation: 28,080 sweeps between 4 and 31 August 2026. From this the system computes hiring velocity, role-open medians, and closure rates per company, the raw material for every recommendation.

L2The member graph

One private graph per member holds every fact the system may use. Writes are confirm-gated by law: the AI proposes, the member confirms, only then the graph changes. A regulated answer the member never stated is never invented; the question rides pending and the gate holds the application instead of guessing.

L3Packet factory

Per job: the tailored resume, the cover letter, the answer set, the dossier summary. A packet is complete or it is named partial with the reason recorded; a partial packet cannot be submitted. Mean measured build: 148.5 seconds over 170 real builds.

L4Apply automation, in the member's browser

Submissions run in a browser extension on the member's own machine and sessions, not from a server farm job boards can fingerprint. Eight job-board adapters covered by a single gate suite (64 rows, 7 mutants, zero survivors). The gate laws are enforced in code: no submit without a complete packet, no invented regulated answer.

L5Voice-native AI headhunters

A cast of personas leads onboarding by conversation and files confirmed answers into the graph. The voice loop is a four-state, eight-event machine with illegal transitions refused by name; barge-in runs on a real voice-activity detector. Measured p50 first token: 725ms against a 1,500ms budget.

L6Event ledger and metrics

Everything the system does is one immutable event in an append-only, per-member ledger with deterministic ids: a retried write produces the same id and counts once, so conversion numbers stay honest under retries. Every operator metric is a deterministic rollup over this file, recountable forever.

Full architecture, evidence record, and honest economics in the white paper. Every figure measured on the running system, August 2026.