Hire an AI Consultant vs Build In-House: How to Decide
Should you hire an AI consultant or build automation in-house? A practical decision framework covering cost, speed, risk, control, and when each option wins.
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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 699 posts across 62 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 (132), AI Agent Architecture (65), AI Tools (38), and Open Source (37). 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.
AI Automation Cost: Budget Ranges and What Drives Price
What does AI automation actually cost? Real budget ranges for quick builds, full systems, and consulting, plus the factors that move the price up or down.
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Claude Code Profit Workflow: 4 Upgrades Before You Build
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.
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AI Drops: Record & Replay, Claude Tag, Bluerails, and Cheaper Agent Workflows
Andrew Warner and Corey Ganim covered a week of AI drops: Codex Record & Replay, Claude Tag in Slack, Zapier MCP, Bluerails, Claude Code artifacts, Revid, WorkClaw, second brains, OpenRouter MCP, and more. Here is what builders should actually test.
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Learn AI Is Bad Advice. Build This Skill Stack Instead.
Greg Isenberg argues that "learn AI" is too vague. The durable move is to build a skill stack: agents and local models, distribution, robotics, curation, builder-distribution, and real-world community.
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9 Free AI Skills That Make Coding Agents Feel Like Cheat Codes
FutureTools tested nine free skills and plugins for Claude Code, Codex, Cursor, Hermes, OpenClaw, and other coding agents. Here is the practical JQ AI SYSTEMS guide to what to install first, what each skill does, and where to be careful.
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AI Overviews Change Fast. Your Service Pages Need a Refresh Rhythm, Not a One-Time Rewrite
If AI citations move more often than most brands expect, your service pages need a maintenance rhythm rather than one big optimization sprint. Here is how I would structure it.
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Week's Top GitHub Repos: OpenMontage, Codebase Memory MCP, TimesFM, Voicebox, and More
A practical JQ AI SYSTEMS roundup of The Next New Thing's June 25 GitHub Hot Repos report: OpenMontage, codebase-memory-mcp, timesfm, peerd, FluidVoice, birdclaw, worldmonitor, penpot, voicebox, system prompt leaks, Agent-Reach, daily_stock_analysis, and OpenCut.
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How to Create an MVP With AI: Build Fast, Validate Faster
Mikey No Code shows how to build an MVP with AI using Base44. The real lesson is not just speed: use AI to get to validation faster, with working auth, data, deployment, and feedback loops.
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7 Hermes Agent Use Cases That Actually Work
Seven Hermes Agent use cases that hold up in practice: computer control, competitor research, memory, Linear and Notion handoffs, Slack, crons, and skills.
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Why Helpful Content Now Includes Visual Identity Discipline
Helpful content is no longer only a text question. In multimodal and AI-mediated discovery, visual identity discipline becomes part of whether the brand feels coherent, memorable, and trustworthy.
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AI UI Design Workflow: Use Design Systems Before You Vibe Code
Rasmic's AI UI workflow is simple and useful: collect inspiration, turn it into a design system, generate tokens and components, tweak the system first, then build with AI.
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How Shashank Runs a $100K AI-Agent Business With OpenClaw
Shashank Agarwal showed Andrew Warner how API.market runs with OpenClaw agents for PR, LinkedIn, seller outreach, finance, hiring, and chief-of-staff work. Here is the practical agent operating system behind it.
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AI Agent Loops Explained: Triggers, Goals, Sub-Agents, and When to Stop
Andrew Warner and Matthew Berman break down AI agent loops: triggers, verifiable goals, LLM-as-judge loops, sub-agents, scheduled automations, token budgets, and reusable Loop Library templates.
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Hermes Agent's Reach Release: iMessage, Background Agents, Skills Hub, and Telegram
Alex Finn walked through Hermes Agent's Reach Release: native iMessage, automatic background agents, Unreal MCP, desktop upgrades, profile builder, Skills Hub, smarter memory, and Telegram formatting.
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The New ROI Question for AI Search: Which Visibility Signals Actually Move Revenue?
AI search visibility is becoming measurable, but the useful business question is still ROI. Here is how I would separate vanity visibility from the signals that actually move revenue.
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Google Search Console vs Bing Citation Share: What AI Visibility Can You Actually Measure Now?
Google Search Console and Bing Webmaster Tools now offer first-party AI visibility reporting. Here is what each one can tell you, what they still miss, and what a small brand should actually measure.
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GitHub Trending Developers: The Builders Behind Background Agents, Claude HUD, Agent OS, and More
A practical JQ AI SYSTEMS roundup of GitHub Trending developers, from Cole Murray and Matt Van Horn to Luis Novo, Jarrod Watts, Eric Buehler, Q00, rUv, and more.
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Sakana Fugu Ultra Explained: The Multi-Agent Model That Routes Other Models
Sakana Fugu and Fugu Ultra are not normal frontier models. They orchestrate multiple models through one API. Here is how they work, what the benchmarks mean, what it costs, and when builders should try it.
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So You Learned Claude. Now Prove You Can Move a Business Metric
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.
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What Is an Integrity Graph and Why Does It Matter for AI Search Visibility?
An integrity graph is the layer that connects your brand facts, services, proof, and entity relationships into something AI systems can understand without guessing. Here is why that now matters for AI search visibility.
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GitHub Trending Monthly: MoneyPrinterTurbo, Understand Anything, CodeGraph, Agent-Reach, and More
A practical JQ AI SYSTEMS roundup of this month's GitHub Trending repos: MoneyPrinterTurbo, Understand Anything, MarkItDown, CodeGraph, Agent-Reach, DeepSeek-Reasonix, and more.
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How to Plan a Service Page Around Query Fan-Out Instead of One Keyword
AI search often expands one query into many sub-queries before it decides what to cite. Here is how to plan a service page around query fan-out instead of only one keyword.
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Claude SEO Plugin: Optimize for Google and AI Search
A practical Claude Code workflow for installing the open-source Claude SEO plugin, connecting Search Console, adding brand context, auditing a site, implementing fixes, and validating structured data.
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