Founder of JQ AI SYSTEMS - AI automation systems for studios, consultants, and small teams.
I build Codex-first AI systems, using Claude, OpenAI, Gemini, and automation APIs where they fit: research briefings, reporting tools, content pipelines, lead generation systems, review queues, and reusable AI skills.
My website is the main showroom. GitHub is the public proof layer: a place to inspect sanitized case studies, demo walkthroughs, and reusable AI skills without exposing sensitive implementation details or business data.
jqai-ai-skills v0.3.6 is the current public skills library release: a validated collection of Codex/Claude-style skill folders with GitHub Actions checks, quick install scripts, categorized README navigation, a complete public catalog, a first-skill selection guide, starter sets for common workflows, stable 2026 social preview, demo media, sample artifacts, and safety-reviewed workflows for publishing, case studies, research brief curation, outreach pipelines, marketplace listings, scraping, skill review, copy cleanup, code deduplication, demo generation, and release announcements.
Guide and sample artifacts: catalog.md, skill-selection.md, case-study-writer-sample.md, github-safe-publisher-sample-review.md, and research-brief-curator-sample.md
Field note: From Prompt Library to Skill Library
Announcement copy: announcements/jqai-ai-skills-v0.3.6.md
AI News Curator is the newest live JQ AI SYSTEMS case study: a research briefing workflow that turns scattered AI, coding, design, and automation signals into a daily brief, organized archive, and human-reviewed public/private decision queue.
Live walkthrough: AI News Curator demo
Public proof: jqai-internal-systems/case-studies/ai-news-curator.md
Announcement copy: announcements/ai-news-curator-live.md
| Repository | What it shows |
|---|---|
jqai-internal-systems |
Sanitized case studies for systems built to run my own studio operations. Start here for client proof. |
jqai-public-demos |
Screenshots and live walkthrough links for public workflow demos. Watch how the systems behave. |
jqai-ai-skills |
Reusable MIT-licensed AI skills for Codex/Claude-style workflows. Start with the v0.3.6 release, browse the catalog, or use the skill selection guide. |
- Operational AI systems: reporting tools, research briefings, content calendars, lead scoring, and client workflows.
- Human-in-the-loop pipelines: AI drafts and scores, but review queues keep publishing and outreach under human control.
- Reusable AI infrastructure: prompt libraries, skills, workflow templates, and source-owned client handoffs.
Codex, Claude Code, Python/FastAPI, PHP, SQLite, OpenAI and Anthropic APIs, Firecrawl, Apollo, Buffer, Google Search Console, PostHog, Obsidian, and Adobe creative tools.
If you are a potential client, start with the case studies and demos. If you are technical, inspect the skills repo. If you want the full offer, pricing logic, and contact path, use the website.
Client work, private prompts, API credentials, databases, logs, deployment files, and raw business data stay private.
Want a system like this for your business? Start here: ai.joaoqueiros.com/contact.
