Search blog posts, case studies, GitHub repo roundups, agent architecture notes, and practical AI automation guides.
A practical JQ AI SYSTEMS guide to the nine AI skills from the video, plus nine more skills for turning AI into workflows, memory, agents, review loops, and business leverage in 2026.
Jordan Urbs cancelled a $200 Claude plan and tested OpenCode with Venice. Separate his estimated token bill from actual costs, examine privacy modes, and run a small portability test before switching.
Pat Simmons tests ChatGPT Dots on shopping, travel, project management, and inbox monitoring. Here is what completed, what stalled, and who can actually use it.
Igor tests a ChatGPT Dot on used-camper-van research, an hourly check, and a Space tracker. See what completed, what failed, who can access it, and a safer first workflow.
Andrew Warner reviews eight Muse creator demos: bill calls, price trackers, Marketplace, school PDFs, local files, family briefings, browser research, and messaging. See where delegation works and where approvals still slow it down.
Greg Isenberg's sponsored Claude Code workflow rebuilt with repo context, Plan Mode, tickets, preview, layered review, routines, worktrees, and permission tiers.
Theo traced T3 Code's idle GPU load to infinite status animations interacting with a fixed noise overlay. Here is why Fable and GPT-5.6 guessed wrong, what the final patch changed, and a better AI-assisted debugging workflow.
Andrew Warner and Mike Bradley install ODS on Windows. Here is what the local AI stack includes, what stays private, the real hardware tiers, and a safer setup path.
Greg Isenberg's framework rebuilt as a practical guide to jobs, arrows, shared state, parallel research, checks, loops, and human approvals.
Theo examines Linus Torvalds' defense of AI-assisted Linux kernel review. Here is the primary-source context, what Sashiko's 53.6% result does and does not prove, and the accountable workflow open-source teams can copy.
Vaibhav Sisinty tests ChatGPT Work and Claude Cowork across projects, scheduled tasks, connectors, recorded skills, Slack, Sites, Artifacts, and local work. Here is the current, source-checked comparison.
Vaibhav Sisinty explains why token consumption is becoming a business cost problem. Here is the source-checked playbook: measure cost per successful task, route models, cache correctly, trim context, set limits, and decide when local inference pays.
Vaibhav Sisinty and OpenAI's Wulfie Bain use GPT-5.6, ChatGPT Work, and Codex to research, build, test, automate, and publish a startup workflow.
Theo used GPT-5.6 across 67 projects and an estimated $180K-$240K of inference. Here is the organized ledger: production work, native rewrites, Rust experiments, browser automation, failures, and the practices worth copying.
Nate Herk gave Claude Fable 5 one goal prompt and got a product, landing page, videos, business plan, market research, and brand package. Here is the practical builder lesson: goal design, subagents, verification, and human validation.
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.
Anthropic studied 400,000 Claude Code sessions and found that domain expertise matters more than traditional coding experience. Here is what builders and small teams should learn.
The Fable 5 access pause is a reminder that cloud AI is rented intelligence. Local models give builders a private, offline, resilient fallback layer for everyday work.
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.
A practical JQ AI SYSTEMS roundup of this week's hot GitHub repos suggested by The Next New Thing: MoneyPrinterTurbo, headroom, MarkItDown, Supermemory, ECC, taste-skill, VoxCPM, and more.
Corey Ganim demonstrates a Hyperagent workflow that finds overlooked local businesses, builds evidence-based preview sites, and tracks opportunities. Here is the controlled version worth testing.
Andrew Warner and Corey Ganim review Knockoff, HeyClicky, JustVibe, social, Cowart, SceneRoll, Printing Press, Maker Skills, PlugThis, Osaurus, and Screenpipe. Here is what to test and what to protect.
David Ondrej and Ahmad Osman debate local AI, ODS, open weights, DGX Spark versus Mac Studio, DeepSeek V4.1 Flash, privacy and hybrid agents. Start with a small local model, then decide what hardware is actually justified.
Run Gemma 4 in LM Studio on a 16GB integrated-graphics PC. Compare all five model sizes, official Q4 memory estimates, downloads, speed, context, vision, coding, and Bionic.
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