JobJam.io is a commercial AI-native platform for job seekers. It uses LLMs across the full search-to-apply lifecycle: discovering relevant roles, evaluating fit between a candidate and a job description, tailoring application materials per role, and surfacing skill gaps relative to a target position. Built on Next.js with TypeScript, Anthropic's Claude for the AI workflows, Supabase (EU) for data and auth, Stripe for payments, and Vercel for hosting. The pricing is deliberately one-time — aligned with how a job search actually plays out (a bursty effort over weeks or months) rather than a perpetual subscription.
Live commercial product at jobjam.io
Full AI workflow across discovery, fit, tailoring, and skill-gap analysis
EU data hosting via Supabase for privacy
Chain LLM steps into a workflow with {{stepId.output}} substitution between steps. Pick a preset, edit any prompt, watch the chain execute step by step.
View ProjectCLI + web viewer that runs your prompts against test cases with contains / regex / equals / llm-judge assertions, produces a JSON report, and fails the build on regressions in CI.
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