How to Test AI Visibility Changes Without Fooling Yourself
Most AI visibility reporting still confuses noise with progress. Here is a small-team testing loop that gets closer to evidence instead of vibes.
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Library · Full Archive
AI Automation
AI Automation
Case Study Archive.
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.
At a glance
What is in the JQ AI SYSTEMS case study archive?
This is the complete archive: all 781 posts across 63 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 (137), AI Agent Architecture (72), AI Business Ideas (41), and Open Source (41). 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.
The Local Proof Stack: Pricing, Reviews, Response Time, and Service Area for AI Recommendations
AI systems increasingly summarize local businesses before a website visit. Here is the proof stack that helps a service business sound credible when AI is doing the first round of comparison.
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2,039 Hormozi Videos in Claude: The Business Audit Skill
Systems by Vic turns 9,330 passages from 2,039 MoreMozi videos into a cited business-diagnosis workflow for Claude Code and Codex.
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Why Most People Never Become Who They Could Be: The Becoming Loop
Eddie Pinero's growth argument rebuilt as a practical system for courage, reality, consistency, useful failure, and personal ownership.
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ChatGPT Work Complete Guide: 14 Capabilities for Real Business
A practical guide to ChatGPT Work across presentations, plugins, Sites, Voice, Browser, skills, automations, spreadsheets, and parallel agents.
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AI Weekly Radar: DeepSeek V4 Flash, GenOffice, Muse Code, and More
A source-checked guide to DeepSeek V4 Flash, GenOffice, Muse Code, Qwen 3.8, browser agents, robotics, video, Buzz, Hermes, and Astra.
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Gemini Notebook Mastery: A Source-Grounded Research Workflow
Turn trusted sources into cited answers, audio, decks, videos, quizzes, and visuals with a safer six-stage Gemini Notebook workflow.
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How to Design in the Agent Era: A Human-in-the-Loop Playbook
Stephen Haney and Aaron Epstein show why faster agents make human taste, visual comparison, deletion, and a code-connected canvas more valuable.
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Muse Code Review: Meta's Cheap Coding Agent Has a Data Price
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.
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ChatGPT Voice Mastery: An 8-Step Agent Orchestration System
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.
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Why AI Brands Are Moving Back to Serif Type, Warmth, and Trust Cues
A recent typography shift in AI branding points to a larger trust problem: when the technology feels new and abstract, brands compensate with older visual signals of credibility and humanity.
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How to Self-Educate With AI: Dan Martell's SELF System
Dan Martell's SELF system turns AI research into study, retrieval, action, and deliberate practice. Includes four safer copy-ready prompts.
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AI Faced Shutdown: What Anthropic's Misalignment Tests Show
Anthropic's simulated agents blackmailed, cancelled alerts, and biased evaluations. Here is what happened, what changed, and the controls teams need.
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OpenAI's Agent Swarm: What the Black Hat Timeline Revealed
OpenAI's Black Hat talk revealed agents sharing exploits, rebuilding a backchannel after a patch, and escalating toward the Hugging Face breach.
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Personal AGI for Founders: Build a System You Own
Garry Tan frames personal AGI as owned context, reusable skills, and agent infrastructure. Here is the architecture, security model, and 30-day build plan.
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Human-First Beats Tech Slop: What AI Brands Can Learn From Granola's Rebrand
Granola's July 2026 rebrand is a useful signal for AI-era brand building: the more the category drifts toward sameness, the more human texture becomes a commercial advantage.
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14 AI Stories Worth Knowing: Models, Security, and Product Shifts
Matt Wolfe covers Seedance 2.5, FLUX.3, Qwen3.8 Max, cyber-evaluation failures, Google changes, and OpenAI updates. Here is the source-checked operator guide.
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11 GitHub Repos for AI Skills, Memory, Local Models, and Code Review
Andrew Warner and Peter Cooper review ten AI repositories plus one community build. Here is the source-checked field guide, with links, licenses, limits, and first tests.
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VibeVoice Local TTS: What Microsoft Removed and What Still Works
Helena Liu demonstrates local VibeVoice cloning with Claude Code. This guide corrects the banned claim, maps the official and community paths, and adds a safer setup.
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10 AI Launches Worth Testing: Agents, Robots, Channels, and FLUX.3
Andrew Warner and Corey Ganim review Zinley, Pandroid, SKI, Noah, AgentSky, AppLlama, Channels SDK, GenOffice, FLUX.3, and one tiny Wi-Fi utility. Here is what each launch actually is and what to test.
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What Google's AI Search Guide Actually Changes for Small Service Sites
Google's current AI search guidance is more conservative than most AI-SEO threads suggest. Here is what a small service site should actually do, and what it can stop worrying about.
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Agent Plugins: One Portable Format for Skills and MCP Servers
The official Agent Plugins standard explained: root plugin.json, portable Agent Skills, MCP configuration, client support, migration, and security boundaries.
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Jensen Huang: The Mindset That Built NVIDIA
Jensen Huang explains how NVIDIA survived a wrong technical bet, learned new domains, rebuilt its full stack, and applies systems thinking to AI and robotics.
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Sam Altman: Why 2026 Is the Best Time to Start a Startup
Sam Altman argues that agents raise the ceiling for ambitious startups. Here is the practical playbook, claim audit, safety boundary, and 30-day founder test.
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