Gemini 4 Argon: Release Date, Features, Specs and Pricing
Gemini 4 Argon is out. What Google released and when, the specs, what it can and cannot do, what it costs before and after 1 December, and how to get access.
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New Gemini 4 Argon is here. Read our guide
Custom AI tools that take the busywork off your team
We design, build and run AI tools around one job in your business: answering customers, reading invoices, taking calls, summarising meetings. Built on Gemini 4, GPT or Claude, connected to the software you already use, with a person in charge of anything that matters.
Typical build2 to 4 weeks
PricingFixed quote
The codeYours, 100%
The catalogue
AI tools we build, and what each one does
Twelve tools businesses ask us for most. Each one is built for you, on your data, with your rules. Not a subscription you rent.
Customer service
AI Customer Support Chatbot
Answer routine customer questions 24/7 from your own policies, products and order data
2 to 4 weeksFrom $1,500 → Customer serviceAI Voice Receptionist
Answers the phone when your team cannot, books appointments and takes clear messages
4 to 6 weeksFrom $3,000 → OperationsAI Invoice and Document Data Extraction
Stop retyping invoices: supplier documents go straight into your books, checked first
2 to 4 weeksFrom $1,500 → OperationsAI Knowledge Base Assistant
Staff ask a question and get an answer from your own documents, with the source linked
3 to 5 weeksFrom $1,500 → SalesAI Lead Qualification Assistant
Reply to every new lead in minutes and spend sales time on the ones likely to buy
2 to 4 weeksFrom $1,500 → OperationsAI Email Inbox Assistant
Shared inbox triaged and replies drafted, so your team only checks and sends
2 to 3 weeksFrom $1,500 → SalesAI Meeting Notes and Call Summaries
Clear notes and action items from every call, filed in your CRM or project tool
2 to 4 weeksFrom $1,500 → E-commerceAI Product Description Generator
Launch new products faster with on-brand descriptions written from your photos and specs
2 to 3 weeksFrom $1,500 → Customer serviceAI Review Reply Assistant
Answer every review in your own voice, and spot the problems customers keep mentioning
2 to 3 weeksFrom $1,500 → Legal and complianceAI Contract Review Assistant
First-pass contract review against your playbook, so lawyer time goes where it matters
4 to 6 weeksFrom $3,000 → Data and reportingAI Data Analyst
Ask your database questions in plain English and get answers without waiting on reports
4 to 6 weeksFrom $3,000 → E-commerceAI Competitor and Price Monitor
Know when competitors change prices, products or offers, without checking their sites
2 to 4 weeksFrom $1,500 →
How we build them
From your messiest task to a tool your team trusts
Every tool goes through the same four steps, and you see a working version in the first week.
Map the job
A short call and 20 to 50 real examples of the task. We write down what the tool does, what it never does, and where a person signs off.
Fixed quote
You get a written scope and one price before any code is written. Running costs are estimated for your volume, so there are no surprises.
Build and test
We build on a staging link you can use, and test against your real examples until the accuracy is where we agreed it would be.
Launch and support
We connect it to your systems, train your team, and keep it running. Logs show every decision the tool made and why.
Free AI Tool Finder
Not sure which tool you need? Describe the task.
Tell us what your business does and which job eats your week. You get up to three tool ideas in a few seconds. No email needed.
Your suggestions will appear here.
Models
The right model for each step, never locked to one
Google's new Gemini 4 Argon reads PDFs, images, audio and video and handles very long documents. GPT and Claude models are strong at other jobs, and small open-weight models are cheap for routine steps. We pick per task, test on your examples, and keep the choice swappable.
Google Gemini
Gemini 4 Argon for long documents, PDFs, video and multi-step work. Cheaper Flash models for high-volume steps.
OpenAI GPT
Strong general reasoning and tool use, with a broad ecosystem of integrations.
Anthropic Claude
Careful writing, long context and dependable instruction following for customer-facing text.
Open-weight models
Run on your own server when data must not leave it, or when volume makes APIs expensive.
Gemini 4 series
All Gemini 4 articles
Read before you build
AI & Chatbots
AI & Chatbots
Gemini 4 API Tutorial: gemini-4-argon in Python and JavaScript
A hands-on Gemini 4 API guide: first request in Python and JavaScript, thinking levels, invoice JSON extraction, function calling, long outputs, migration and costs.
AI & Chatbots
Gemini 4 Pricing: What Argon Costs Now and From 1 December
What Gemini 4 Argon really costs: both price periods, thinking tokens, caching, grounding, three worked monthly budgets and a GPT-6 and Claude comparison.
Frequently asked questions
What is a custom AI tool?
Software built around one job in your business, such as answering support questions, pulling data out of invoices or summarising calls, with an AI model doing the reading and writing. Unlike a general chatbot subscription, it uses your data, follows your rules, connects to the systems you already use, and keeps a person in charge of anything that matters.
How much does it cost to build one?
Most of the tools on this page are quoted between $1,500 and $10,000 as a fixed price, depending on integrations, the number of document or message types, and how much review screen you need. Running costs are separate: AI usage plus hosting, which we estimate for your volume before you commit.
How long does it take?
A focused tool usually ships in two to four weeks. You see a working version on a staging link in the first week, and we tune it on your real examples before it goes live.
Which AI model do you use?
Whichever fits the task. We build with Google Gemini, including the new Gemini 4 Argon, OpenAI GPT models, Anthropic Claude and open-weight models, and we keep the model swappable so you are never locked to one vendor. Routine steps often run on a cheaper model to keep the bill down.
Who owns the tool and the data?
You do. The code lives in your repository from the first commit, it runs on infrastructure you control, and your data is not used to train public models. We can host it for you if you prefer, but you can take it anywhere.
What if the AI gets something wrong?
Every tool we build has a human in the loop where mistakes would matter: drafts wait for approval, low-confidence results are flagged for review, and everything is logged. We test on your real examples before launch and tell you plainly what accuracy to expect.
Tell us the task. Get a fixed quote.
Send a short description and a few examples. Within two working days you get a written scope, a price and a timeline, and you can say no for free.