Search blog posts, case studies, GitHub repo roundups, agent architecture notes, and practical AI automation guides.
A source-checked playbook for making money with Claude by improving one measurable workflow, proving the result, and turning the evidence into consulting revenue or an in-house AI role.
Rob The AI Guy tours ChatGPT 5.6 Skills, Sites, Appshots, plugins, Scheduled tasks, Work, and Computer Use. Here is the practical setup, safer defaults, and four reusable prompts.
Marcin AI tests GPT-5.6 on a company website, voice-controlled chessboard, and native iOS alarm app. The chessboard reveals what agentic building still needs: speech input, legal move validation, testing, and human correction.
OpenAI introduced ChatGPT Work, an agentic work surface for apps, files, local projects, browser use, Computer Use, Sites, Appshots, scheduled tasks, and GPT-5.6-powered deliverables.
Griffin Wooldridge shows how to connect Mobbin MCP to Claude Code so AI agents can research real shipped UI screens before designing. Here is the practical workflow for Claude, Cursor, Codex, and AI web design.
Nate Herk says four Claude Code upgrades helped him make more money: stress-test ideas, verify outputs, manage context, and use sub-agents. Here is the practical JQ AI SYSTEMS version.
Nate Herk argues that Claude skills only matter if you can diagnose business constraints, tie work to KPIs, and prove results. Here is the practical JQ AI SYSTEMS playbook.
GLM 5.2 can be routed into Claude Code through Z.AI. Here is what changed, the config to use, where it may beat Opus on cost, and what builders should test first.
Codex is turning into an AI super app while Opus 4.8 shows the model race is getting subtler. Here is what changed, what is confirmed, and what builders should do next.
AI agent memory is becoming the new business knowledge base. Learn how memory differs from chat history, why agents forget work, and how small teams can structure context for better automation.
Andrej Karpathy joining Anthropic is a signal that the next AI advantage is not just the model, but the context, memory, workflows, and research loops around it.
Hermes Agent is powerful, but running an autonomous AI agent on a remote server raises real questions about safety, isolation, and cost. Here is exactly how I am setting mine up on a Hetzner CPX22, what Docker does to contain it, and what risks remain.
A practical 15 July 2026 snapshot of GitHub Trending Developers: the people behind open notebooks, background coding agents, browser agents, terminal tools, local-first apps, Rust infrastructure, and useful developer resources.
Safe AI coding agents need more than good prompts. Learn how small teams can use sandboxes, approvals, logs, network limits, and review queues before giving Codex or Claude Code more autonomy.
Most people use AI reactively: you open a chat, you ask something, you get an answer. But the bigger time savings come from AI that runs without you. Here is how a scheduled Monday briefing replaced two hours of manual sector research every week.
Investigate an unexpected Google-selected canonical with URL evidence, redirect and template checks, and monitoring for important business pages.
David Ondrej builds a Jev-powered qualification form, connects the TypeSafe API, packages the app with Docker, and deploys it through Coolify on a VPS.
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.
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.
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.
Diagnose missing Google favicons with a practical checklist for brand artwork, supported formats, hostname rules, crawl access, stable URLs, and recrawling.
Ben Davis, Peter Gostev, and Tom Krcha test GPT-6 Astra on a playable history of London, matcha-shop design directions, and a DEF CON puzzle with parallel agents.
Matt Wolfe tests GPT-6 Astra on SVG coding, a Three.js game, an interactive world, Blender, and Unreal Engine. Here is what the demos prove, what they do not, and how to evaluate Astra safely.
Andrew Warner and James McAulay show how Claude Code connects content, analytics, email, CRM, deployment, and cloud agents. Here is the architecture, evidence, and safer operating model.
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