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Public sandbox · simulated data

CommandFlowOS — Live Demo

Public sandbox · 100% simulated data

AI-Powered Career Operating System

CommandFlowOS combines verified job intelligence, resume optimization, recruiter CRM workflows, outcome learning, and safe automation into one career operations platform.

Launch Public Sandbox Read Case Study View Architecture
23
Applications today
across verified ATS
64%
Avg interview probability
32%
Recruiter response rate
Customer Success
Best resume variant
No production data · no PII · no API keys

An AI command center for the job hunt.

Ingests roles across ATSs, scores fit, drafts packets, routes Safe Auto-Submit, and learns from every recruiter reply.

Pipeline at a glance

Applications today
0
Interview probability avg
0%
Recruiter response rate
0%
Top ATS
Greenhouse
Best resume variant
Customer Success
Top category
SaaS · Mid-market
Queue backlog
0
Interview conversion
0%
Conversion funnel
Simulated 30-day cohort.
Imported412
Approved187
Submitted142
Recruiter Reply46
Interview18
Offer4
AI recommendations
Double down on Customer Success
31% interview rate vs 22% portfolio avg — push 5 more this week.
Apply Tue–Thu mornings
Recruiter replies are 2.1× higher in the 8–11am window.
Lead with the CS variant
Highest response rate (38%) across 42 tracked apps.
Pause Workday-only postings
12% reply rate, 3× higher safety-block rate. Low ROI.
Resume variant performance
Customer Success
42 apps · 31% iv
Product Ops
31 apps · 24% iv
Data Analyst
28 apps · 19% iv
Operations / PM
22 apps · 18% iv
Technical PM
19 apps · 14% iv
ATS reply rate
Greenhouse
64 apps · 38%
Lever
41 apps · 31%
Ashby
22 apps · 27%
Workday
15 apps · 12%
Response & interview trends
Simulated weekly rhythm.
MonTueWedThuFriSatSun
Live activity
Simulated event stream.
  • 09:42
    Imported 12 new roles from Greenhouse
  • 09:48
    Approved Sr. CSM @ Acme (interview prob 78%)
  • 10:02
    Submitted application via Lever
  • 10:14
    Recruiter replied: Vector AI — interview requested
  • 10:31
    Interview scheduled with Northwind, Thu 2pm
  • 10:47
    Imported 8 new roles from Ashby
  • 11:05
    Recruiter replied: Lumen Labs — phone screen
  • 11:22
    Submitted application via Greenhouse

How the system works

Step 1
Ingest

ATS scrape + dedupe

Step 2
Score

Fit · realism · salary

Step 3
Draft

Resume + cover packet

Step 4
Submit

Safe Auto + Manual Review

Step 5
Learn

Outcomes → recalibrate

System Architecture

A layered, audit-friendly platform

A secure AI-powered recruiting operations platform combining ATS ingestion, company verification, resume intelligence, outcome learning, and executive analytics.

End-to-end flow

ATS Sources
Ingestion
Filtering
Trust Scoring
Resume Matching
Packet Generation
Review / Submit
Outcome Tracking
Learning Loop
Recommendations

Public Presentation Layer

Recruiter-facing, no auth, no production data

Public SandboxCase StudyRecruiter DemoPortfolio Website

Private Application Layer

Authenticated operator workspace

Authenticated DashboardSmart Apply Control CenterManual Review QueueSafe Auto-Submit DashboardExecutive Command Center

Intelligence Layer

Scoring, learning, and resume strategy

Resume Variant OptimizerOutcome Learning EngineInterview Probability ScoringCompany Trust ScoringSalary EnrichmentCareer Realism Scoring

Automation & Workflow Layer

Pipeline orchestration with human-in-the-loop

ATS IngestionApplication Packet BuilderRecruiter CRM PipelineFollow-Up SchedulerDry Run Auto-SubmitSafety Block Routing

Data & Security Layer

User-owned data with row-level isolation

Supabase AuthRow Level SecurityPostgreSQL TablesUser-Owned DataAudit LogsMonitoring Logs

AI + Notification Layer

Generative drafting and operator alerts

OpenAI Resume / Packet GenerationTwilio SMS AlertsMonitoring AlertsWeekly Recommendations

Safety & Compliance Layer

Hard-coded guardrails — never bypassed

No CAPTCHA bypassNo MFA bypassNo login-wall evasionNo stealth automationManual Review fallbackEmergency pauseDaily caps enforced

Built-in guardrails & metrics

11-factor trust scoring
14-day freshness filter
30-day duplicate guard
5/day Auto Review cap
3/day Safe Auto-Submit cap
25/day AI generation cap
Outcome-based recalibration

No private data, recruiter PII, or API keys are referenced in this diagram.

Production monitoring snapshot

Imports OK (24h)

98.4%

Packet success

94.1%

OpenAI healthy

✓

Auto-submit blocked

3 (safe)