The Factory Floor
AI Consulting & Development
-
How to Get Cited by AI Search Engines: The Complete AEO Guide
Get cited by ChatGPT, Perplexity, and Google AI Overviews. This AEO guide covers content structure, FAQPage schema, and platform-specific tactics that work.
-
How to Build an AI Workflow Stack for Your Business (2026 Guide)
Small businesses experimenting with AI tools gain little advantage until they build structured workflow stacks that turn isolated prompts into repeatable systems. SLIDEFACTORY's three-layer framework connects LLMs with standardized prompts (Intelligence Layer), real business data (Data/Context Layer), and automated pipelines (Workflow Orchestration), implemented progressively from individual tasks to full automation. The competitive edge comes from treating AI as governed infrastructure rather than casual experimentation, enabling small teams to match the output of much larger organizations.
-
Beginner’s Guide to AI Project Management: How to Run Smarter Projects in 2026
A beginner's guide to AI project management in 2026: what it means, which tools to use, and how to run your first AI-powered project.
-
Claude Code vs Webflow vs WordPress: Is This the New Web Stack?
Anthropic's Claude Code and Claude Design just changed what it means to build a website. Here's how the new agentic web stack actually compares to Webflow and WordPress, with a practical comparison table, an honest take on where each platform still wins, and what mid-market businesses should do about it.
-
What Is Agentic AI? A Plain-English Guide for Businesses (2026)
Agentic AI is the most talked-about technology in business right now, but what does it actually do, where does it work, and is it ready for your company? A plain-English breakdown from Portland's AI consulting team, with the latest research from Stanford and Carnegie Mellon, and a practical readiness checklist.
-
Replace or Augment? The Wrong Question Businesses Are Asking About AI Agents
Every business is asking whether AI agents will replace their team. That's the wrong question. Here's the one that actually determines whether your AI investment works, and why augmentation, not replacement, is where the durable advantage lives.
-
Claude Finance Agents Are Here: What Anthropic’s Wall Street Launch Means for Every Business
Anthropic just deployed purpose-built Claude finance agents at Goldman Sachs, JPMorgan, Citi, AIG, Carlyle, and Visa, with a parallel mid-market track via Blackstone, Hellman & Friedman, and Goldman Sachs. Here's what that signals for every business and how to apply the same patterns at your scale.
-
Claude Code Removed from Anthropic’s Pro Plan. And It Reveals a Bigger AI Pricing Problem
Anthropic quietly pulled Claude Code from its $20 Pro plan this week, then reversed course under pressure. The pricing page is back to normal , but the underlying math isn't. Here's why it happened, how AI agents broke the subscription model, and what every business using AI tools should do about it.
-
Claude Design Launch: What It Means for AI Design Tools
Anthropic launched Claude Design on Friday and Figma's stock fell 7%. Here's what the new AI design tools mean for Figma, Adobe, and creative work
-
Why We Built an AI Code Review Too and What It Taught Us About Shipping Software
Here’s something most agencies won’t tell you: we build our own products. Not as passion projects or things we tinker with on slow Fridays.…
-
The Equalizer: How AI Video Is About to Democratize Entertainment
AI video generation tools like Seedance and Veo are putting studio-quality production in anyone's hands. What that means for creators and Hollywood.
-
Implementing an AI Workflow Stack: Roadmap, Governance, and How to Measure ROI
Most AI initiatives fail not because the tools don't work, but because businesses skip the system design, no documented workflows, no shared prompt libraries, no governance, no feedback loops. SLIDEFACTORY's three-phase implementation model progresses from individual prompt templates (weeks 1-4), to standardized team workflows with limited automation (months 2-3), to fully triggered pipelines connected to live business data (months 3-6), with human approval checkpoints at each stage. The post closes with a frank breakdown of costs ($150-500/month at steady state), ROI benchmarks (break-even at 5-10 hours saved per week), and the six recurring mistakes that kill most AI initiatives before they deliver value.
What's next should be worth building.
New products. Better systems. More compelling experiences. Whatever the opportunity, we bring the thinking, creativity, and technical expertise to make it real.
Start a Conversation 4520 SE Belmont St, Suite 300Portland, Oregon