With today’s tools people with ideas can now execute without immediate support from “technical” people. You can learn how to build apps, software, better spreadsheets – whatever you need, just by understanding what AI can really do (it’s not just a chat window in a browser).

This rings true for business – it’s amazing what the right tools on your teams desktops can help them do. 10 times more output? Same or better quality? Yes, when executed well.

As an Enterprise consultant, this is my raison d’être. I’m using multiple automations, agents, skills, MCPs for web development, content research, data auditing and analysis, site build and deployment (Shopify, WordPress, JS Frameworks).

Houtini is a place I’ve built to help you learn tactics to help you get started. It’s also the place to find me if you’d like help. Drop me a line on my contact form – thanks!

Richard Baxter
Moza Racing
Fanatec
Logitech G
Colson Group
Red Bull

Background

I’m Richard Baxter, and I help people navigate the shift toward an agent-driven web. As a Marketing Technologist, my work revolves around the protocols that govern how AI interacts with our brands, specifically MCP, UDP, and the rising Universal Commerce Protocol. Houtini is where I demystify these technical surfaces, offering practical workflows and insights to help both developers and marketers leverage the productivity potential of an AI-native workplace.

Experience

I founded a digital agency called Builtvisible way back in 2009. With help from some very talented people, I grew it into a globally recognised agency specialising in technical SEO and content strategy. Eventually, Builtvisible was acquired by Brave Bison in 2025.

Over tthe past few years I’ve built and maintain sites in the affiliate and jobs sectors: simracingcockpit.gg, a resource for the sim racing / esports space, fluidjobs.com, a motorsport job site.

My career started in financial services, moved into e-commerce, recruitment / jobs, then travel, and eventually, founding Builtvisible.

Since then, my day-to-day work has been highly research-oriented, with a handful of nice clients benefiting from the research I do with them.

I have a particular interest in creating MCP servers to connect LLMs to external applications and data sources, harnessing these connections in processes, using my agents to crystalise procedure. I run a reasonably sized N8N instance that scrapes and enriches structured product data, and I own YubHub, an xml jobs feed aggregator that works on any careers page even if the target site doesn’t support jobs json-ld markup.

What This Site Is About

This site is built for the doers: the content marketers, SEOs, vibe coders, and web workers who are ready to move past basic prompting and start building real AI processes or even infrastructure. I focus heavily on Model Context Protocol (MCP) implementation, offering step-by-step guides on setting up AI Assistant tools like Claude Desktop to interact with the real world through file operations, API connectivity and UI-less, API/MCP only apps.

From automating workflows to mastering ‘RAG without RAG’ for content research, my tutorials are designed to bridge the gap between AI theory and your daily to-do list, helping you build a smarter, more efficient workspace without wasting a huge amount of time experimenting or in R&D.

Whatever your background, I’d love to work with you to implement and execute with AI in your in-house digital processes.

Open Source & Community

I maintain a handful of open source tools at github.com/houtini-ai, primarily focused on MCP server implementations and workflow automation. If you’re building similar infrastructure or experimenting with local LLMs, the repos document what’s worked (and what hasn’t) in production environments.

Consulting Focus

I work with early-stage companies and established businesses looking to:

  • Improve everyday working processes by enabling people to use practical AI tools in the workplace
  • Understand and implement data strategy for Google’s vision of the orchestration layer, where commerce will take place on the AI surface, not the website
  • Implement AI infrastructure for content production, specifically: the research aspect for content marketing
  • Build MCP-based workflows that connect LLMs to real business data
  • Content analysis or workflows for AI search engines (GEO strategy)
  • Local LLM infrastructure for privacy-sensitive or high-volume tasks
  • Scale technical content production whilst maintaining quality and specificity
  • SEO / Content Strategy / Affiliate Merchants

Contact

Want to connect? I’m on LinkedIn here: https://www.linkedin.com/in/richard–baxter or just contact me if there’s something I can help you with.

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