10 GitHub Repos for Safer, Better AI Builds
Andrew Warner and Adam review Open Code Review, WeKnora, Worktrunk, Agent Skills, Context Mode, OpenAI Plugins, and other repositories for safer, more structured AI work.
Every case study, system breakdown, and field note, newest first and filterable by topic. No theory, no demos. Only systems that run in production and what it took to get them there.
This is the complete archive: all 478 posts across 52 topics, newest first, filterable by category. It holds the case studies, the model and tool comparisons, and the field notes from systems I built and run. For the curated view, where the writing sits alongside the free Claude Code skills, start at the Library instead.
The archive leans in four directions: AI Search Visibility (95), AI Agent Architecture (58), AI Tools (38), and AI Coding Agents (26). Those four account for most of what I publish, because they are where most of the client questions land.
Three places to start. The AI search visibility guide is the hub for the largest cluster and links out to every spoke in it. Grok Imagine vs Midjourney is the image model comparison, rebuilt against live leaderboard data rather than left to go stale. OutreachIQ is the longest running system breakdown here, from first prototype through to a public repo.
Andrew Warner and Adam review Open Code Review, WeKnora, Worktrunk, Agent Skills, Context Mode, OpenAI Plugins, and other repositories for safer, more structured AI work.
Ray Amjad explores Jev as a fast decision layer for Claude Code and Codex: skill suggestions, browser checks, comment triage, code review, and a measured build-test-fix loop.
Riley Brown tests TypeSafe Jev with a model router and a 500-email dashboard. Learn how Choice, Score, and Noul work, what the demos show, and how to pilot fast decisions without overtrusting them.
Greg Isenberg and Ryan Vogel test Jev on 1,700 emails, then map its decision output to lead scoring, support routing, video clips, and browser control. Here is how to pilot it without trusting a demo as a guarantee.
Matthew Berman tests Jev, TypeSafe AI's fast decision model. Learn its typed questions, RLCD training, useful routing patterns, demo limits, and why zero hallucinations is not a safety guarantee.
Dario Amodei proposes pacing frontier AI while rival leaders respond. Matt Wolfe also covers Claude, Gemini, Siri, Meta Muse, Qwen, Grok Build, ElevenLabs, and ChatGPT Ads.
Corey Ganim maps Scrapling, Dify, OpenSEO, OpenShorts, and Presenton to five client services. Here is the credible offer behind each repo, plus costs, licenses, and delivery risks.
Matt Wolfe and Bilawal Sidhu explore God's Eye View, an open-source 3D globe for public flights, ships, satellites, fires, cameras, traffic, launches, and voice-controlled spatial analysis.
Ryan Vogel tests TypeSafe Jev on batches of 100 and 1,000 exported emails. The dashboard reports about 200 ms average latency, but quality and cost need a closer reading.
Ryan Vogel combines Grok speech-to-text with TypeSafe Jev to rank video highlights. The demo finds 11 candidates in about two seconds; here is the useful workflow and what still needs human review.
Eric Michaud tests Postiz, ChatbotX, Orca, Paperless-ngx, and God's Eye View. Here is what each project solves, what was actually demonstrated, and where self-hosting adds work.
Jay E shows how to turn raw talking-head footage into branded motion graphics with GPT-6 Astra, HyperFrames, transcription, reusable assets, and a skill that improves through review.
OpenSEO combines a self-hosted SEO dashboard, DataForSEO, MCP, and agent skills. This guide explains the real costs, Docker setup, Claude Code workflow, and security limits.
Dario Amodei proposes pacing frontier AI with embedded evaluators and coordinated safeguards. Matthew Berman asks what rival CEOs actually agree on, and who could be left out.
Andrew Warner and Michael Galpert test Meta Muse across Instagram, Messenger, WhatsApp, a cloud browser, connectors, approvals, and personalized ideas.
A ten-app stress test shows where GPT-6 Astra computer use saves real effort, where direct tools win, and how to delegate visual software safely.
A practical software-factory blueprint for parallel coding agents: isolate work, build to explicit architecture, prove behavior with evidence, and ship through review loops.
FreeLLMAPI combines provider free tiers behind one local endpoint, with model routing, failover, coding-agent setup, media APIs, and important production limits.
Repurpose technical claims across a website, LinkedIn, email, short video, and a sales deck while preserving source context, limitations, and correction history.
Build an evidence-first testimonial workflow that checks review origin, incentives, visible text, entity identity, and Google eligibility before generating schema.
Five AI safety cases explain agentic misalignment, reward hacking, alignment faking, unintended coordination, and the controls that reduce real-world risk.
Eight creator tests show where GPT-6 Astra is useful now: app building, browser and iPhone control, video editing, meeting analysis, writing, and presentations.
Compare a short case-study video with a full walkthrough using consistent claims, separate discovery measures, production effort, and qualified enquiry evidence.
Test service-package changes with approved offer facts, fixed buyer questions, evidence capture, and regression checks for prices, currencies, scope, and exclusions.
Every post here is about a system that actually shipped. Book a free call and let's talk about what could ship for you.
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