Make your people and business agent-ready.
AI isn't coming for your job. It's coming to make your job easier, and the exciting bit is that means you, and your team, can concentrate on the creative work, the strategy and the planning. Here's what happens:
- 01
The Audit. We find where AI fits in your business.
- 02
The Build. We embed in your team and build the bits that take the chores off them, so your people get back to the creative work, the strategy and the planning.
- 03
Agent UX. We empower your team to be agent builders, makers, managers and get your website ready for the customers who arrive via AI search or their own AI agents.
Most engagements start with one and grow into another. Plenty of teams just want one. Either is fine.
Audit. Build. Train. Support.
We find the low-value, high-volume work eating your team's hours, take it off them, train your people on the live system, and stay reachable on the terms you want.
AI Audit
We work out where AI fits in your business. The internal grunt work eating your team's hours, and the customer-facing parts of your site that an agent will arrive at.
Readiness assessmentBuild: Prototype to Execution
This is the bit where we start small, work with the team, prove a solution and then deploy.
Automation buildAI Knowledge: Training
AI training can be anything from working with your in-house AI owner to something more group-based.
AI trainingSupport where you need it
As your senior practitioner, we stay on the pulse so you don't have to.
Fractional AI leadFree tools to make your working day easier.
Over the past year, we have been developing open-source software to solve specific problems most marketers and digital people face. MCPs for your AI assistant, designed to make your day simpler. The work we ship for clients goes further.
Gemini MCP
Get grounded results, analyse images, generate diagrams or even videos from inside Claude with our Gemini MCP.
Better Search Console
Search Console intelligence your team can't write themselves. Daily sync, decline detection, period-on-period comparisons.
FMP MCP
Company fundamentals, statements and ratios from inside an agent. Built for finance and investor-research workflows.
Read our blog.
Best GPUs for Running Local LLMs (2026): Memory Bandwidth, VRAM and the Cards Worth Buying
What to actually buy in 2026 to run local LLMs seriously. Why memory bandwidth matters more than FLOPS, how much VRAM each model tier needs, and the five GPUs worth your money - from the used 3090 floor to the RTX Pro 6000 Blackwell 96GB workstation tier.
Claude Desktop System Requirements: Windows, macOS, Linux (2026)
What you need to run Claude Desktop in 2026, after Cowork shipped, the Connectors marketplace landed, and the Opus 4.8 / Sonnet 4.6 generation took over. Anthropic's official specs, what real machines actually need, and where the install falls over.
Claude Code System Requirements: Mac, Windows, Linux (2026)
What you need to install and run Claude Code on Mac, Windows and Linux in 2026. Anthropic's official spec, what real-world setups actually use, where the install falls over, and the practitioner gotchas the most popular tutorials don't cover.
AI for the CFO: variable cost, vendor sprawl, and the playbook that ends the surprise bill
Uber reportedly provisioned 5,000 engineers with Claude Code in December 2025. By April 2026 it had burned the entire annual AI budget in four months. Variable cost is the new shape of the AI line item, and the CFOs who are getting it under control are running the same four-lever playbook. Here is what is on each lever, which platforms are credible, and what to ship in the next ninety days.
AI hallucination, and the boring discipline that stops it being a problem
You have read about lawyers citing made-up cases and chatbots inventing refund policies. The fix is not a new platform or a clever prompt. It is the most boring discipline in software: read what came out and check the bits that matter against a second source. Here is what hallucination is, how we run a Houtini-grade check on every claim, and what would change if your team did the same.
What is RAG, and what could it do in your company?
Your AI confidently answers questions about your business with public-internet knowledge. RAG is the architecture that gets your actual contracts, customer list and operating playbook into the conversation, with citations. Here is what it is, where it sits next to long context and MCP, and what it changes if you sponsor the work this quarter.
Forty-five minutes. No pitch deck.
Know you need to look at AI in your company but you are not sure what is possible? Jump on a call and we will demonstrate some agentic processes, bring you up to speed with the state of the art, and then discuss your needs.