The grunt work is eating your team’s week.
We build the AI / Apps / Websites that lighten the load.
The collecting, the checking, the comparing, the compiling - we build AI into the uniqueness of your business so that work runs itself, and your people get back to the creative work, the strategy and the planning. That’s how a business runs faster. Here’s how we help:
- 01
The Audit. We find where AI fits in your business.
- 02
The Build. We build the bits that take the chores away - apps, websites, dynamic content, data collection and classification - 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
Content that keeps itself current
Publishing pages that carry numbers - prices, benchmarks, "updated for 2026" posts - and dreading the refresh backlog? We built a statistics site where every figure recomputes from its source, and a Claude routine reads the prose against the data each morning. The patterns transfer to any site.
18 pages · kept honest by one 07:30 routine
How it works →
The parts Shopify Plus B2B doesn't do
Running trade pricing through an ERP and wondering whether Shopify Plus can hold it - the negotiated specials, the volume breaks, the carton rules? We moved around seventy price lists across natively, and built the one piece the platform can't do, so every customer sees the price their rep agreed.
One custom app · nothing extra to host
Read the case study →
Eight content ideas, from the model you choose
Type a topic or paste your URL, then pick which model does the thinking - Llama, Qwen, DeepSeek and a few more, most of them free - and get eight commissioning-editor pitches: safe bets, bold swings and contrarian takes, each scored for freshness.
Free · eight models to ideate with
Read the comparison →
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.
Dynamically updating infographics and content (so you don't have to)
I built a statistics site where every number updates itself. The harder half turned out to be the prose - so a Claude routine now reads the site against its data every morning. Here's how the whole thing works, and the patterns you can take for your own site.
The parts Shopify Plus B2B doesn't do (and how we built them)
Shopify Plus does more B2B than most people think - right up until a customer sits on two catalogues and their negotiated volume pricing disappears. I put an industrial hardware distributor's ERP pricing live on it, with one first-party app and nothing extra to host. Here's what native covers, and what I had to build.
The dual-4090 runbook: my working vLLM settings for twelve local models
Every one of the twelve models on this rig serves through the same OpenAI-compatible endpoint, and every one wanted something different before it would run. Here are my working settings for each - and, more useful than the flags, what the deal was with each model and how I got it serving.
The 26%: what the companies actually making money from AI do differently
Google Cloud surveyed 2,403 executives and found a 26% cohort whose AI returns are accelerating year on year - and BCG independently landed on the same number. Meanwhile MIT says 95% of pilots die. Both are true, and the difference between the two groups is where they aim the technology, not how much they spend on it.
Which AI model pitches the best content ideas?
Content Marketing Ideas lets you choose which AI does the thinking. I ran the same brief through all eight models: how the pitches differ, which are worth the wait, and why the free ones are slow.
The VRAM traps: why a 16GB model wouldn't load on a 48GB card
A 16GB model would not load on my 48GB card, and the reason was a shortfall of one kilobyte in a memory no spec sheet mentions. These are the fit traps a VRAM figure will never warn you about.
The Dual-4090 96GB vLLM Benchmark & Runbook
Can a £6,200 modified Ada rig match enterprise MoE throughput? The living measurement record for a dual RTX 4090 48GB vLLM rig - every number measured here.
The broken rules of local LLM inference
I used to lock the clocks on my mining GPUs. The same instinct just helped kill five rules of local LLM inference on a £6,200, 96GB rig.
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.