Search blog posts, case studies, GitHub repo roundups, agent architecture notes, and practical AI automation guides.
A practical guide to ChatGPT Voice, connected apps, plugins, custom MCP tools, cloud and desktop browsers, the Codex Chrome extension, and safer permission defaults.
Nine practical Jev workflows for email, model routing, support, leads, memory, video clips, smart homes, browser control, and content filtering, with confidence gates and real limits.
Matthew Berman tests eight Jev use cases across browser cleanup, email priority, semantic search, dynamic UI, video clipping, color palettes, and emoji selection. This guide separates the model decision from the software around it.
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.
A live OpenSEO workflow for connecting Claude Code through MCP, reading Google Search Console, researching keywords, checking backlinks, and turning an audit into a verified fix list.
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.
Andrew Warner and Michael Appell show Hyperagent automating franchise sales, parking assessments, training, territory planning, and image analysis. Here is the evidence, architecture, and safer rollout.
A practical guide to ChatGPT Work across presentations, plugins, Sites, Voice, Browser, skills, automations, spreadsheets, and parallel agents.
Stephen Haney and Aaron Epstein show why faster agents make human taste, visual comparison, deletion, and a code-connected canvas more valuable.
Muse Code and Muse Spark 1.2 are exceptionally fast and cheap. Theo's test reveals the data tradeoff, rate limits, strong PR triage, and weak long tasks.
Alex Finn's ChatGPT Voice workflow rebuilt as an eight-step operating system with Remote setup, safer Computer Use, copy-ready prompts, and measurable controls.
OpenAI's Black Hat talk revealed agents sharing exploits, rebuilding a backchannel after a patch, and escalating toward the Hugging Face breach.
Garry Tan frames personal AGI as owned context, reusable skills, and agent infrastructure. Here is the architecture, security model, and 30-day build plan.
Claude Code creator Boris Cherny explains why stronger models need less legacy scaffolding. Here is the eval-led delete-and-restore method, prompt audit, verification contract, and security caveat.
Futurepedia demonstrates how Claude Design can turn prompts, reference images, design systems, and timestamped transcripts into editable motion graphics. Here is the practical workflow, prompt, QA process, and beta caveats.
Running Claude Code on free model tiers via OmniRoute: what is genuinely free, what leaves your laptop, which routes raise terms concerns, and a safer setup.
Greg Isenberg's framework rebuilt as a practical guide to jobs, arrows, shared state, parallel research, checks, loops, and human approvals.
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