AI-Verified Freelancer Marketplace

AI Prompts to Build This

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1. 1. Project Setup

   Build the weekend MVP of "VerifiedAI": a directory that lists only freelancers who passed a graded AI skills challenge.
   
   Stack: Next.js (App Router), TypeScript, Tailwind, Supabase (Postgres with full-text search, Row Level Security, Auth with email magic link), Claude (Anthropic API) as the first-pass grader. Written-work challenges only this weekend. Deploy on Vercel.
   
   Tables (Row Level Security on: freelancers see their own submissions, companies see only verified profiles):
   - companies(id, user_id, name)
   - freelancers(id, user_id, name, specialties, verified)
   - challenges(id, specialty, prompt, rubric jsonb, time_limit_minutes, pass_threshold)
   - submissions(id, freelancer_id, challenge_id, content, score, grader_notes, status, started_at, submitted_at) where status is one of pending, graded, flagged
   - grading_runs(id, submission_id, raw_output jsonb, created_at)
   
   Screens: /login, /challenge/[id] (the timed task), /directory (search for companies).
   Env vars (names only): NEXT_PUBLIC_SUPABASE_URL, NEXT_PUBLIC_SUPABASE_ANON_KEY, SUPABASE_SERVICE_ROLE_KEY (server only), ANTHROPIC_API_KEY.
   
   Do not build: billing, plans or placement fees, sandboxed code execution, Algolia, in-app messaging or contracts, an admin area (review flagged submissions in the database).
   Done when: npm run dev starts, you can sign in as a freelancer or a company, and the five tables exist with Row Level Security on and two challenges seeded.

2. 2. Core Feature

   Build the one feature that proves VerifiedAI: no profile is listed until a graded challenge says so.
   1. /challenge/[id] shows the task with a timer. The server enforces time_limit_minutes and rejects a late submission.
   2. Grade a submission: send the content, the rubric and the pass threshold to Claude with a strict schema { scores: [{ criterion, points, reasoning }], total_score, confidence, flags: string[] }. Save every run to grading_runs.
   3. If confidence is below 0.7, or the total is within 5 points of the pass threshold, set the status to flagged for human review instead of grading it automatically.
   4. On a passing score, mark the freelancer verified for that specialty and, with their consent, store the graded submission as a public portfolio sample.
   5. /directory filters by specialty, minimum challenge score and availability. Each card shows a verified badge, the challenge score and a snippet of the graded sample.
   Rules: log every grading run for audit. Companies never see an unverified profile.
   Empty state: with no verified freelancers, show "Be the first to pass" and the challenge list.
   Done when: a strong test submission verifies the freelancer and lists them, a borderline one is flagged and not listed, and a late submission is rejected.

3. 3. Landing Page

   Build a one-page landing site for VerifiedAI, a directory of AI freelancers who passed a graded challenge.
   Hero: "Every freelancer here has proven it." Sub: "No self-reported skills. Every profile passed a real, graded AI challenge before they were listed." One button: Search verified AI talent, which joins the waitlist.
   Sections: how verification works in four steps (apply, challenge, grade, list), a sample graded challenge shown in public to build trust, and an FAQ on how challenges are graded, how often the roster is refreshed and how freelancers get certified.
   Waitlist: store the email in a waitlist table in Supabase, with a column for company or freelancer. No other service.
   Style: a dark background, one accent color, generous whitespace.
   Done when: the page renders on a phone and a submitted email appears in the waitlist table.

4. 4. Branding Package

   Use a design or image tool for this one. A coding agent cannot draw a logo.
   Brand for VerifiedAI: a wordmark and a verified-badge mark that reads as earned, not decorative.
   Colors: near-black, white and one accent for the verified state. Type: one sharp sans for the interface.
   Deliverables: wordmark, the badge mark at three sizes, a graded-score chip, and one launch graphic.
   Done when: each deliverable is saved in one folder and the badge is readable at 24 px.