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The Lab / AI Productivity · SaaS
Jobpoise
The job search, engineered.Jobpoise is a citation-grounded AI job application copilot. It generates cover letters, follow-up emails, and application materials that trace back to the candidate's actual resume and the actual job description — no hallucinated accomplishments.
product graph
Surface ⇄ System
- status
- Production
- stack
- 08
- metrics
- 04
status
Production
category
AI
stack
8
metrics
4
Live — productionAI Productivity · SaaS
// metrics
- 3
- Pricing Tiers
- 5/5
- CI Gates
- 3
- Job Boards
- 0
- Open PRs (main)
// why we built it
The citation-grounding architecture is the product. It's what separates Jobpoise from a GPT wrapper with a job-shaped UI. A monorepo with a web app and a browser extension, sharing types and utilities, can be built and maintained by a single engineer without sacrificing CI discipline.
// what it does
- Citation-grounded AI generation — every output maps to a source (resume bullet, JD requirement) via a structured citation layer
- Chrome extension (MV2) injecting into LinkedIn, Indeed, and Greenhouse for one-click draft generation from the current job posting
- Gmail OAuth integration for application tracking — surfaces follow-up timing and detects response patterns
- Three-tier Stripe billing: Drift (free), Poise ($39/mo), Compose ($79/mo) with Customer Portal
- Turborepo monorepo sharing types and utilities between the web app and Chrome extension
// stack
Next.js 15TypeScriptOpenAI GPT-4StripeChrome Extension MV2Gmail APISupabaseTurborepo
// related work
Case study
Read the full case study
AI Productivity · SaaS system
Surface proof, system proof.
Jobpoise is a studio proof object: not just a concept page, but a real product with a problem, stack, operating thesis, and route into deeper case-study proof when available.
Build like JobpoiseAI Productivity · SaaS system
Surface ⇄ System
- status
- Production
- stack
- 08
- metrics
- 04
status
Production
stack
08
metrics
04
Living architecture
Product ⇄ Engine
Job seekers face a documentation problem, not an inspiration problem. Generic AI cover letter generators miss the point entirely — they produce content disconnected from the candidate's real experience and the role's actual requirements.
Build like Jobpoise- 01ProblemJob seekers face a documentation problem, not an inspiration problem. Generic AI cover letter generators miss the point entirely — they produce content disconnected from the candidate's real experience and the role's actual requirements.
- 02Product surfaceCitation-grounded AI generation — every output maps to a source (resume bullet, JD requirement) via a structured citation layer
- 03System architectureBuilt across Next.js 15, TypeScript, OpenAI GPT-4, Stripe, Chrome Extension MV2, and more.
- 04Studio learningThe citation-grounding architecture is the product. It's what separates Jobpoise from a GPT wrapper with a job-shaped UI. A monorepo with a web app and a browser extension, sharing types and utilities, can be built and maintained by a single engineer without sacrificing CI discipline.
Conversion path
Surface ⇄ System
01
Inspect the product
Jobpoise is a citation-grounded AI job application copilot. It generates cover letters, follow-up emails, and application materials that trace back to the candidate's actual resume and the actual job description — no hallucinated accomplishments.
02
Read the mechanics
Citation-grounded AI generation — every output maps to a source (resume bullet, JD requirement) via a structured citation layer Chrome extension (MV2) injecting into LinkedIn, Indeed, and Greenhouse for one-click draft generation from the current job posting
03
See related proof
Route into the Jobpoise case study for the fuller architecture story.
04
Start a similar build
Use the product as evidence for a focused app, AI system, or SaaS engagement.
Proof assets
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Verified asset
Jobpoise screenshot
Verified product/case-study screenshot for Jobpoise.
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Architecture visual
Use this slot for a richer custom Jobpoise system diagram or case-study architecture frame.
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