AI automation services
Custom AI Development for the Workflows Generic Tools Can't Handle
We design, build and integrate purpose-built AI software: document parsers, classifiers, generators and internal dashboards, wired into your existing systems. You own the code. US, UK, Canada, Australia and EU.
- Workflow spec
- Golden set and evals
- Model selection
- Prompt and output design
- Integration
A free 30-minute strategy call, then a fixed-fee proposal. No retainer required to get a quote.
The problem
When the off-the-shelf AI tool is not the tool you need
Generic AI products serve the average case. Your workflow is not average, and the gap is where your team's time goes.
Our approach
Purpose-built, measured, integrated and yours
The 50+ free tools on this site are our shipping record: OCR and PDF parsing, summarizers, image generation and enhancement, video utilities, an AI writing assistant, an invoice generator, lead enrichment and lead qualification, all designed and built by the founder and in daily use by visitors. Each began the way a client tool does: define the job precisely, pick the smallest model that does it well, ship, then measure and tighten. That is the discipline we bring to a parser for your invoices or a classifier for your tickets.
A client build starts from your workflow, not from a model. We write the spec as inputs, outputs and failure modes, then assemble a golden set of real examples with expected results before any prompt is written. Prompts return structured JSON validated against a schema, retrieval supplies context when the model needs your documents, and an evaluation script scores every change against the golden set, so accuracy is a number rather than an opinion. Model choice is per task across OpenAI, Gemini, Groq and open-weight options, including models run inside your environment when data cannot leave. Integration runs through REST APIs, webhooks or n8n, with keys held server-side.
What's included
- Workflow spec — Inputs, outputs, edge cases and acceptance criteria written down and signed off before any build.
- Golden set and evals — A test set built from your real data and a script that scores accuracy after every change.
- Model selection — OpenAI, Gemini, Groq or open-weight models benchmarked on your examples for accuracy, latency and cost.
- Prompt and output design — Structured JSON outputs, schema validation, confidence scores and retrieval where the task needs your documents.
- Integration — REST APIs, webhooks, n8n flows or direct database access into your CRM, ERP, store or inbox.
- Cost controls and handover — Caching, batching, rate limits and spend alerts, then full repo ownership with docs and an optional retainer.
Process
How we work
We check whether custom is the right call or an existing tool would do, then scope the fixed-fee proposal.
The workflow spec and test set are agreed first, so success is defined before code exists.
Two-week sprints; each ends with a Loom walkthrough and the current eval score on your data.
It runs beside your current process on live inputs until the numbers justify switching; then repo, prompts and docs transfer to you.
Benefits
What custom gets you that a subscription cannot
Fits the actual workflow
Built around your documents, categories and systems, not what a generic product assumed.
Accuracy you can see
An eval score on your own data, reported every sprint, instead of a demo that worked once.
The right model per job
Cheap and fast where that is enough, stronger where it is not, private where data must stay in-house.
Yours to keep
You own the code, prompts, test set and infrastructure; nothing is tied to us or to a platform.
Fit
Who this is for
- Operations teams processing invoices, applications, contracts or purchase orders by hand
- SaaS founders adding an AI feature without hiring a machine-learning team
- Ecommerce brands needing catalog classification, description generation or review analysis
- Companies whose data cannot leave their environment, ruling out hosted AI products
Technologies & platforms
Common use cases
Document parser
Invoices, POs or forms turned into validated fields and pushed into accounting or ERP, low-confidence items flagged.
Classifier
Tickets, leads or products sorted into your categories with a confidence score and a review queue for the uncertain.
Generator
Product descriptions, proposals or reports produced from templates plus your data, with a review step before use.
Internal dashboard
Pipeline, orders or tickets summarized by a model into one view your team reads each morning.
Built, not just promised
Related work
From Industry News to Ready-to-Post Drafts, Automatically
The AI Content Engine is a Next.js web app that watches AI-industry news, turns each story into LinkedIn and social-media drafts, and places them in a queue where a person reviews, edits and publishes. It was built to take the sourcing-and-drafting grind out of a consistent posting schedule while keeping a human in charge of what goes out.
An Offline-First POS With Barcode Checkout and FBR Invoicing
POS System by THS is a Windows point-of-sale built for a computer-accessories shop: scan a barcode, complete the sale, keep stock accurate and issue FBR-compliant invoices — all without depending on an internet connection. It was built on Electron, React and SQLite so the counter keeps running whatever the connection is doing.
One Desktop App for Students, Fees, Attendance and Results
The School Management CRM is a Windows desktop application that brings a school's core records — students, teachers, fees, attendance, exam results, staff salary and admissions — into one program that works without an internet connection. It was built with Electron, Express and SQLite so a school can run it on its own office machines with no hosting and no subscription.
Free AI Automation Opportunity Audit
Not sure what to build first?
Before a custom build, the free audit ranks the repetitive processes in your business by impact and effort.
FAQ
Frequently asked questions
How do you choose the model, and can our data stay inside our environment?
How do you know the tool is accurate, and what happens when it is wrong?
What does custom AI development cost, and what will API usage add?
How long does a custom AI tool take to build?
Who owns the code, prompts and data, and where is it hosted?
What happens after launch when OpenAI or Google changes their models?
Next step
Describe the workflow and we will tell you if custom AI is worth it
Bring one process and a few real examples to a free strategy call, and you will leave with a straight answer and a fixed-fee proposal if it fits.
- Free 30-minute strategy call — no sales script
- Fixed-fee proposal within a few days of the call
- You own everything we build: code, store, prompts, data
- Remote-first, working across US, UK, EU and AU time zones