GPT 5.5 Review: Benchmarks, Pricing, and Verdict
OpenAI GPT 5.5 review: 1M context, 82.7% Terminal-Bench, 85% ARC-AGI-2. What the benchmarks say, where Opus 4.7 still leads, and what it means if you build.
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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.
Claude Code + DataForSEO: Build a Pay-as-You-Go SEO Agent
Connect Claude Code to DataForSEO through MCP for live keyword research, SERP analysis, audits, and scheduled reports without locking the workflow inside an SEO dashboard.
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Grok Imagine vs Midjourney 2026: 12 AI Image Models Ranked
ELO scores, pricing and speed for 12 image models: Grok Imagine, Midjourney v7, Flux 2 Pro, GPT Image 2 and Nano Banana, plus category winners by use case.
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GPT Image 2 Is Here: What Changed, What It Costs, and What Builders Should Know
OpenAI launched GPT Image 2 on 21 April 2026. 99% text accuracy, native reasoning, up to 4K resolution, and full API access. Here is what actually changed, what it costs, and what it means if you build with AI.
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Building an Etsy to Pinterest Pipeline: Niche-Aware SEO, Smart Scheduling, and Why Generic Pins Get Throttled
A full breakdown of the Etsy to Pinterest Pipeline: FastAPI dashboard, Claude Sonnet niche detection, smart image processing, research-backed scheduling, and why generic pin descriptions get throttled by Pinterest.
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Claude Design by Anthropic: What It Does, What It Doesn't, and What It Means for Designers
An honest builder's review of Claude Design by Anthropic. What it actually does, where it falls short, how it compares to Figma and Canva, and what it means for solo builders and designers.
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The Best Claude Code Skills Repositories: April 2026 Roundup
Twelve Claude Code skills repositories ranked and reviewed by use case: marketing, design, web development, research, project management, and mega-collections.
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Karpathy's CLAUDE.md: The 4 Rules That Fix How Coding Agents Work
One CLAUDE.md file, 199k GitHub stars: the 4 rules it enforces, how to install it in a minute, and the security check to run before trusting any CLAUDE.md.
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Claude Opus 4.7 Is Here: What Changed, What the Benchmarks Say, and What to Do Next
Anthropic shipped Claude Opus 4.7 on 16 April 2026. Here is what actually changed: coding benchmarks up 13%, vision resolution tripled, a new xhigh effort level, task budgets, and what it means for production systems running on the Claude API.
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Claude Opus 4.7 Leak: What We Actually Know, What Is Speculation, and What It Means If You Build on Claude
Two separate leaks exposed references to Claude Opus 4.7, Sonnet 4.8, a new Capybara tier, and a next-gen family called Mythos. Here is what the leaks actually contained, what is confirmed, and what matters if you build on the Claude API.
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Claude Code Routines: How They Work and What You Can Build
Anthropic just shipped Claude Code Routines: saved automations that run on their cloud, triggered by schedules, API calls, or GitHub events. Here is what they actually do, how they compare to what existed before, and where they fit in a real automation stack.
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Custom AI Systems vs Zapier and Make.com: When Each One Actually Wins
No-code automation tools are great until they are not. Here is the honest framework for deciding when Zapier or Make.com is enough and when you need a custom AI system.
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How I Built a 4-Agent System That Runs a Social Media Agency
A full breakdown of the Camille Guillain AI Operating System: architecture, agent roles, memory, and how 70 to 80% of manual work was eliminated without losing the human voice.
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Claude vs ChatGPT for Business Automation: Which One to Pick in 2026
A practical, opinionated comparison of Claude and ChatGPT from an AI systems builder with Anthropic certifications who still uses GPT models regularly. When each one wins, when neither fits, and how to decide for your business.
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What Is a Multi-Agent System? Architecture, Examples and When to Build One
A clear definition of multi-agent AI systems in 2026: what they are, how the agents talk to each other, what they look like in production, and when one agent is enough.
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What Is Prompt Engineering? A Working Definition for 2026
A clear, practical definition of prompt engineering in 2026: what it is, what it is not, and what good prompt engineering looks like compared to writing a clever prompt.
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What Is the Claude API? A Practical Guide for Businesses in 2026
A clear, business-focused explanation of the Claude API: what it is, how it differs from ChatGPT.com, what it costs, and what you can actually build with it in 2026.
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What Is an AI Agent? Definition, Examples and How They Differ from Chatbots
A clear, practical definition of AI agents in 2026: what they are, how they differ from chatbots and traditional automation, and what they look like in real production systems.
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What Is AI Workflow Automation? Definition, Examples and How It Differs from RPA
A clear definition of AI workflow automation in 2026: what it is, how it differs from traditional workflow automation and RPA, and what it actually replaces inside a business.
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Scheduling AI Tasks: How a Monday Briefing Replaced 2 Hours of Manual Research
Most people use AI reactively: you open a chat, you ask something, you get an answer. But the bigger time savings come from AI that runs without you. Here is how a scheduled Monday briefing replaced two hours of manual sector research every week.
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Claude Marketing Skills: Corey Haines Builds a Growth Engine
Corey Haines shows how Claude Code and reusable marketing skills can build a site, plan SEO pages, draft nurture email, audit technical SEO, and connect measurement.
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Industry Knowledge Embedding: How to Make Claude Sound Like an Architect
Generic AI does not know your industry. It knows the surface of it. Here is the method I use to embed deep domain knowledge into a Claude system so the output reasons and writes like a practitioner, not a generalist.
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From CSV to Word Report in 3 Clicks: Building Offline Client Tools
Not every AI tool needs to live in the cloud. Here is how I built a local Python tool that turns raw CSV exports into formatted Word reports, with no internet connection, no subscription, and no manual formatting.
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Why Your AI-Written Posts Sound Like Everyone Else's (And How To Fix It)
Generic AI content is not a model problem. It is a prompt problem. Here is exactly what makes AI writing sound like AI, and the system for fixing it at the source.
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