We Run This Stack Daily
Our own production pipeline is AI-routed automation at scale. You're buying something we depend on, not a side offering.
Our differentiator
AI & Automation
Custom AI agents, Telegram bots, dashboards, internal tools.
Software that removes the manual work nobody should still be doing by hand — built as small, sharp tools wired into the systems you already use, and handed over as code you own.
2–6 weeksFrom scoping call to a tool your team is actually using.
You own itCode, prompts, and infrastructure handed over with documentation.
Model-agnosticMulti-provider routing — no lock-in to a single AI vendor.
Built by an SEO teamWe automate our own delivery first, then productise what works.
Why it matters
Every company runs on a layer of invisible manual work: someone copying numbers into a spreadsheet each Monday, someone re-typing enquiries into the CRM, someone answering the same five questions in chat all day. It never appears in a budget line, so it never gets fixed — it just quietly consumes the most expensive hours you have.
Most of it can be automated now at a cost that would have been absurd three years ago. The constraint isn't the models; it's knowing where automation pays off, and building something narrow enough to actually work. We start from the process, not the technology — and if a tool isn't worth building, we say so.
Small tools, large returns
The best automations are unglamorous: one recurring task, removed permanently, for a fixed one-off cost.
We automate ourselves first
Our own delivery runs on this stack — the Site Factory pipeline is the same engineering discipline productised.
Own it, don't rent it
Code, prompts, and infrastructure are yours on delivery. No per-seat pricing on a tool built specifically for you.
[Why Choose Us]
Four reasons this is the service clients are most surprised to find at an SEO agency.
Proven Process, Not Guesswork
Process mapping before code, a working prototype before build-out, and evaluation before anything touches production.
Full-Stack Team
Back-end, front-end, and design in one team — an agent ships with an interface people will actually open.
No Vendor Lock-In
Multi-provider routing by default. When a better or cheaper model appears, you switch without a rebuild.
[What We Build]
Narrow tools that do one job properly — wired into the systems your team already lives in.
[ 01 ]
Custom AI Agents
Task-specific assistants with access to your data and tools — triage, research, drafting, classification, or qualification.
[ 02 ]
Telegram Bots
Internal bots for reporting, alerts, approvals, and lookups, so the team gets answers without opening another dashboard.
[ 03 ]
Dashboards
One screen pulling from the sources that matter — live, accurate, and finally without a Monday-morning spreadsheet.
[ 04 ]
Internal Tools
Small applications that replace a fragile spreadsheet workflow with something auditable and multi-user.
[ 05 ]
Content Pipelines
Automated generation, review queues, and publishing flows — the machinery behind Site Factory, scoped to your business.
[ 06 ]
Data Integrations
CRM, analytics, billing, and internal APIs connected, normalised, and kept in sync without manual exports.
[ 07 ]
Workflow Automation
Multi-step processes — enquiry to CRM to notification to follow-up — running reliably without a human relay.
[ 08 ]
Evaluation & Guardrails
Test sets, output checks, and fallbacks, so an AI feature behaves predictably instead of impressively once.
[Our Process]
Two to six weeks, with a working prototype in your hands before the full build starts.
[ 01 ]
Process Mapping
We watch how the task is done today, count the hours, and decide honestly whether automating it pays.
Week 1 [ 02 ]
Prototype
A rough working version on real data — enough to prove the approach before you commit to a build.
Week 1–2 [ 03 ]
Build
Integrations, interface, and model routing implemented properly, with your data handling agreed up front.
Weeks 2–5 [ 04 ]
Evaluate
Test sets, edge cases, and guardrails — we measure output quality rather than assuming it.
Final week [ 05 ]
Deploy & Hand Over
Deployed to your infrastructure, documented, and walked through with the people who'll use it.
Launch[Who Needs It]
If a person on your team does the same thing every week and hates it, that's the brief.
Spreadsheet-Run Operations
Critical processes living in a shared sheet that only one person fully understands.
Marketing Teams
Reporting assembled by hand each month, and content workflows that stall waiting on a human step.
SaaS
Companies wanting an AI feature in the product, built and evaluated properly rather than demo-grade.
Agencies
Service businesses whose margin is capped by delivery hours that could be automated.
E-Commerce
Catalogue updates, description generation, and stock or pricing sync across channels.
Support-Heavy Businesses
Teams answering the same questions daily, needing triage and drafting rather than a wall of canned replies.
[Pricing]
Fixed-price projects, quoted after process mapping. If the automation won't save more than it costs, we'll tell you before you spend anything.
Single Tool
$800–2,500fixed project
One bot, one dashboard, or one agent doing a single well-defined job.
- Process mapping and scoping
- Working prototype before build
- One or two system integrations
- Deployed to your infrastructure
- Documentation and handover
Automation Project
$3,000–8,000fixed project
A multi-step workflow or an internal application with a proper interface.
- Everything in Single Tool
- Multi-step workflow automation
- Custom interface designed and built
- Multi-provider model routing
- Evaluation set and guardrails
- Team training session
Platform / Ongoing
On requestproject + optional retainer
Production AI features inside your product, or a suite of connected internal systems.
- Architecture and data-handling design
- Production-grade deployment and monitoring
- Ongoing evaluation as models change
- Support retainer $500–2,000/mo, optional
- Full source and infrastructure ownership
Model and API usage is billed to your own provider accounts, so you see the real running cost and keep control of it. We quote the build; you own the keys.
Describe the task, we'll tell you if it's worth automating
Send us the process — how often it runs, who does it, how long it takes. We'll come back with an honest assessment and a rough figure. Sometimes the answer is "don't bother".
[FAQ]
Because we built them for ourselves first. Our production pipeline — the one behind Site Factory — is AI-routed automation at scale, and clients kept asking us to build the same kind of thing for their operations.
Whichever fits the task and the budget. Everything is built with multi-provider routing, so you can switch models when a better or cheaper one appears without a rebuild.
You do — source code, prompts, and infrastructure configuration, delivered with documentation. There's no licensed layer you keep paying us for.
Model and API usage billed directly to your own provider accounts, plus hosting. We size it during scoping so there are no surprises, and you keep control of the spend.
We build an evaluation set during the project and test against it, plus guardrails and fallbacks for the cases where the model shouldn't be trusted. Anything unreliable gets a human step instead.
Then we say so at the mapping stage, before you commit to a build. Some processes are too irregular or too low-volume to justify the work, and pretending otherwise would cost you more than it saves us.
Stop doing it by hand
A scoping call, a working prototype, then a tool your team owns outright — usually inside six weeks.