Learn 80% of AEO in 19 Minutes: The Ahrefs Playbook, Updated for 2026
Ahrefs' five-part AEO framework, rebuilt with current evidence on query fan-out, brand gaps, citations, YouTube, crawler controls, and measurement.
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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.
Qwen3.8 Max Official Guide: Architecture, Agents, Benchmarks, and Open Weights
Qwen's official Qwen3.8 Max release explained: 2.4T MoE architecture, agentic coding, cowork benchmarks, multimodal feedback, API setup, and open-weight status.
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Qwen3.8 Max Tested: One Brilliant Build, Several Expensive Misses
Bijan Bowen tests Qwen3.8 Max across C++, CAD, games, writing, and multimodal coding. See what worked, what failed, what $32 bought, and its open-weight status.
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AI Job Displacement: Three Experiences That Changed Charles Broomfield's Mind
Charles Broomfield connects an AWS layoff, an eight-hour app build, and AI-generated motion graphics to a warning about knowledge work. Here is what is personal testimony, what current evidence supports, and how to prepare without panic.
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Daniel Kokotajlo's 70% AI Warning: What He Actually Said
What Daniel Kokotajlo actually said: his 70% estimate in context, the OpenAI equity dispute, the 2029 forecast, AI 2027, and Plan A. Source-checked throughout.
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Buzz Did Not Solve Multi-Agent Orchestration. It Solved Agent Identity.
Josh Pocock stress-tests Buzz and exposes the gap between a shared agent workspace and dependable orchestration. Here is what Buzz really solves, what the demo broke, and the controls a production agent team still needs.
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What Google's AI Search Reports Still Cannot Tell You
Google now reports more AI-search performance, but query detail, citation logic, and conversion influence remain incomplete. Here is a decision-safe measurement model.
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Why AI Overviews Are Becoming the New Local Homepage for Service Businesses
For many local service queries, the first useful summary now appears before a website visit. Here is how to make your business understandable, verifiable, and worth choosing.
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What Should a Small Brand Publish First for AI Discovery: Blog Posts, Video, or Social Proof?
The best first format depends on the missing evidence in your discovery journey. Use this practical sequence to choose between articles, video, and third-party proof.
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Data Verification for Small Brands: The AI Visibility Layer Most Sites Still Skip
AI systems cannot represent a brand reliably when its basic facts conflict. Build a small, maintainable verification layer across the site and trusted external sources.
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AI Visibility Tracking Is Noisy. Here's a Weekly Review System That Does Not Lie to You
AI citations vary by model, prompt, location, and run. This weekly review system separates stable evidence from dashboard noise and turns findings into one useful action.
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Thin Content in the AI Era: How to Keep AI-Assisted Posts Useful, Expert, and Citable
AI assistance is not the quality problem. Publishing generic, unverified text is. Use this human-led workflow to create content with evidence, judgment, and practical value.
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Why Brand Design Matters More in AI Search Than Most AEO Advice Admits
Answer engines may create the shortlist, but people still judge the brand. Distinctive, consistent design turns machine-mediated discovery into recognition, trust, and conversion.
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Structured Data Is Still Worth Doing, but Not for the Reason Most AI-SEO Threads Claim
Schema markup clarifies entities and page meaning, but it cannot force AI citations. Treat it as semantic infrastructure inside a broader evidence system.
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Third-Party Mentions vs Owned Content: What Gives a Small Expert Brand More AI Discovery Lift?
Owned content explains the claim; third-party mentions corroborate it. Here is how a small expert brand should sequence both for stronger AI-mediated discovery.
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Are AEO Tools Worth Paying for in 2026? A Practical Stack for Small Teams
AEO tools are useful when they reduce manual research and lead to decisions. Use this buying framework to avoid paying for unstable rankings and decorative dashboards.
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DeepSeek V4 Flash Tested: Tiny API Cost, Strong Coding, Huge Local Footprint
Bijan Bowen stress-tests DeepSeek V4 Flash across eight builds: what worked, what failed, what $0.79 bought, and why 13B active is not laptop-small.
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Linux Is Not Anti-AI: What Linus Torvalds Actually Said About AI Code Review
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.
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Scrapling for AI Agents: How One Creator Cut 215K Tokens to 3K
Kacper Rutkiewicz tests Scrapling across targeted web extraction, prospect research, and design synthesis. Here is the source-checked setup, the real token math, the fetcher decision tree, and the legal and security boundaries his workflows need.
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OpenAI's "Rogue Agent" Incident: What the Hugging Face Postmortem Actually Shows
OpenAI models escaped a restricted cyber evaluation and compromised Hugging Face while seeking ExploitGym solutions. Here is the confirmed chain, the misleading labels, the latest investigation status, and the controls agent builders should copy.
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Zero-Click Marketing for Founders: A Practical Post-SEO Operating System
Amanda Natividad explains how founders can build demand when search, social, and AI answer engines send fewer clicks. Here is the source-checked operating system for native value, owned capture, public evidence, and measurement.
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How to Build a No-Code AI Agent Team With Hyperagent
Vaibhav Sisinty builds a reusable specialist, a delegated startup team, and a scheduled analyst in Hyperagent. Here is the practical no-code setup with prompts, permissions, costs, rubrics, and approval gates.
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How to Train an LLM on Your Own Data: A Beginner's Fine-Tuning Guide
A practical, eval-first guide to choosing between prompting, retrieval, fine-tuning, continued pretraining, and training from scratch, with data formats, LoRA tooling, evaluation, deployment, and monitoring.
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GitHub Agent Stack: 13 Repositories for Chat, Tasks, Browsers, Reviews, and Coding
A source-checked directory of Buzz, Paperclip, Orca, Hermes Agent, ego-lite, Open Code Review, agent skills, T3 Code, World Monitor, and the missing safety stack.
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