We make your business run faster
AI isn't coming for your job. It's coming for the grunt work - the collecting, checking, comparing and compiling that eats your team's week. We build AI into the uniqueness of your business, so your people get back to the creative work, the strategy and the planning. Here's how we help:
- 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
Efficient tooling, measured. We empower your team to be agent operators, makers, managers, prepare your digital team for AI and reporting on efficiency, help you navigate the next steps.
Most clients start with the audit. If you already know where it hurts, skip straight to the build.
What we've been up to
The world's first AI-ready job board and data platform
Jobs pulled from 19 ATS platforms, AI-enriched on the edge, and served four ways from one store - web page, XML, JSON and live agent tools.
19 ATS platforms scraped into one clean schema
The case study →
Shopify Plus - Industrial B2B commerce, wired to SAP B1
Five legacy brand sites folded into one Shopify Plus trade store, priced live from SAP - and organic search up 35% year on year.
+35% organic search year on year (organic new users +71%)
The case study →
Retail competitor price monitoring
Five competitors' prices across a 1,250-product portfolio, checked overnight instead of by hand.
~41,800 competitor listings tracked across five retailers
The case study →
Compliance monitoring software for FCA-regulated networks
Three hours of manual checking per broker site, down to minutes - with the evidence attached to every decision.
42 FCA controls per audit
The case study →
Technical SEO audits, inside Claude
Search Console and a full crawl of your site, merged into one ranked audit you can talk to.
93 checks, ranked by recoverable clicks
The case study →
Retail price and product data collection, with n8n
Product catalogues from 20+ suppliers, re-scraped, enriched and served to publishers daily.
4,364 runs in the last seven days, none failed
The case study →
Private AI on our own hardware
The volume work moved onto our own GPUs - and sensitive data never leaves the building.
96 GB local VRAM, two models serving at once
The case study →
Content automation with a system behind it
Research, drafting and fact-checking at production scale, ready for your editor before publish.
340+ article working folders, each an audit trail
The case study →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.
SEO Audit Console
The complete technical SEO audit at conversation speed. Search Console and a first-party crawl merged, findings ranked by expected clicks per developer-hour.
FMP MCP
Company fundamentals, statements and ratios from inside an agent. Built for finance and investor-research workflows.
Read our blog.
How to Plan and Begin Your First AI-Assisted Coding Session
You don't need to know how to code to build something with AI - but the calm ten minutes you spend planning before you start is what keeps your first session from spiralling. Here's the whole thing, gently: what the tools are in 2026, how to plan, and exactly what your first session looks like.
How to Write a PRD an AI Can Build From (with a template)
A PRD is the difference between an AI coding tool that guesses and one that builds the thing you meant. Here's what a PRD is, a copyable seven-part template, a worked example, and the two lines that do most of the work - written for the era where the thing reading your spec is an agent, not just your engineering team.
How I work with Claude Code: PRD to deploy
I write the PRD, we agree an execution plan, pick the environment, get the keys out of the way, prototype, then test. Six steps, same order every time. Here's the real workflow with the files from two things I've shipped, and which model I hand each job to.
The best local coding setup isn't one model: how I route across Claude, Kimi and my own rig
The question I get asked is which local model is best for coding. Wrong question. The setup that works routes three tiers - Claude reasons, Kimi builds, and a Qwen coder on my own rig does the volume for nothing. Here's the whole thing, wired up.
How to set up vLLM: Docker, compose, and the flags that earn their keep
vLLM from nothing to a working OpenAI-compatible server: WSL2 or Linux, Docker, the compose file we actually run, a preset per model, and the flags that measurably changed things on a dual-4090 bench.
Moving houtini-lm to vLLM: What I learned
I decommissioned Hopper (my local LLM bootstrapped server) and moved my local models to a two-card 4090 rig with vLLM on Docker. It's so much faster - but houtini-lm spat its dummy. Two bugs, one hiding behind the other, and how v3.2.1 fixes it.
From Chat to Deploy: How to Fully Understand Claude, AI Assistants and Claude Code
I started in the chat box like everyone else. Three years later the boring parts of my work run themselves, from PRD to deploy. This is the ladder, stage by stage, with a starter task for each rung.
How to Do a Technical SEO Audit with Claude
A step-by-step technical SEO audit with Claude: Search Console history, a first-party crawl and DataForSEO joined in one local database, prioritised by recoverable clicks.
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.