GateForce85
Case Study
GateForce85: Workforce Opportunity Scoring Engine
ADOPT
PARK
REJECT
Audits postings, never people.
Built for job seekers in workforce programs. The seeker sets constraints once: pay floor, benefits, location, schedule, commute, industry, background check. Hard constraints come first, and failing any one rejects the posting outright. Soft factors move the score. ADOPT at 85 and above, PARK at 70 to 84, REJECT below 70.
Seeker-only by design, with no employer-side output. Status: working browser prototype. Internal review was model-assisted. One outside code review, done in a personal capacity with no institutional endorsement. It covered the code, not field results. Paste-in intake is specified and not yet built. Not yet field-tested.
One synthetic example
Seeker constraintsPay floor $19 an hour. No car, bus only. Home by 5:30 pm for child care.
PostingWarehouse associate, $18.50 an hour, second shift 2 to 10:30 pm, reliable personal transportation required.
VerdictREJECT Three hard constraints fail: the pay is under the floor, the shift runs past the child care deadline, and the posting requires a car. Any one of them is enough. The seeker sees the reasons, not just the word, and spends the application time on a posting that can work.
Made up for illustration. No real person, employer, or posting.
Pilot and Testing GateForce85
The ask right now: three to five workforce advisors for a two-week calibration lab. Advisors score synthetic postings against synthetic seeker profiles. The question: do the engine's verdicts match what an experienced advisor would tell that seeker? Exit is GO, REVISE, or STOP. If you advise job seekers, this is the piece you could help with.
Later, the field pilot: ten to twenty participants over six weeks, a counselor present at each scoring session. The question: does the verdict change what a seeker applies to, and does it hold up against what happens next? That stage needs a host organization, a named operational owner, a technical partner, limited specialist review, and an evaluator.
I lead both stages as builder and Systems Producer. Message me on LinkedIn to help with either piece.
Workforce Opportunity Scoring Engine
GateForce85
A decision-support tool for job seekers. Scores a posting against the seeker's own constraints and returns ADOPT, PARK, or REJECT. Working browser prototype.
Job Description Translator
Job Nutrition Label
A job description analysis tool. Helps applicants distinguish real requirements from filler in postings. In-person demo/prototype available.
Board Engagement Dashboard
dashBoard
Hypothetical board engagement dashboard for a nonprofit in a Microsoft environment. Primary stack: Microsoft Forms → SharePoint → Power BI. Secondary stack (no AI dependency): Microsoft Forms → Excel pivot tables and conditional formatting. Replaces quarterly packet prep with live or scheduled views.
Proof of pattern ▾
Hypothetical design concept for nonprofit board leadership in a Microsoft environment. Primary configuration: Microsoft Forms → SharePoint → Power BI for live attendance, committee participation, and follow-up data, replacing quarterly packet prep with on-demand views for the President and ED. Secondary configuration (no AI dependency): Microsoft Forms → Excel pivot tables and conditional formatting, refreshed manually at meeting cadence.
Multi-Model Workflow Governance
BridgeFlow
A project management framework for teams coordinating knowledge work across multiple AI platforms. In design phase.
Human Capacity Infrastructure
HCI
The operating layer between buying AI and institutionalizing it. Fire codes for AI adoption: exit criteria before dependency, decision rights named, human review gates, documented workflows, portable formats. Read the explainer: Band-Aids, Six Sigma, and Fire Codes
Portable Governance Bricks
YAML bricks
Portable YAML brick governance systems for non-enterprise teams. Persistent context and rules that travel across sessions and tools. In design phase.
