Total recall over everything you've written
Contracts, manuals, project files: twenty years of institutional memory. Ask in plain language, get the answer in seconds, with the source attached.
Your next employee won't be hired.It'll be built overnight.
A CodeMiner agent is built around your company: it reads your documents, works your files, operates your systems. A new kind of employee that never forgets, never sleeps, and starts tomorrow.
CodeMiner: Build #847
/ what changed
Software learned to work
For fifty years, software did exactly what it was programmed to do, nothing more. If your process didn't fit the tool, people filled the gap by hand, and that was simply the cost of running a company.
That era just ended. Software can now read, understand, and act. It can take a job description instead of a specification. Most companies haven't grasped what that means yet. The ones that have are quietly handing entire categories of work to machines, and they are not waiting for anyone.
CodeMiner exists so you can be one of them: without a research budget, without a development team, without waiting until 2030.
/ meet your agent
What a machine employee is actually like
/ RecallIt reads 400 pages in the time it took you to read this line.
/ ConsistencyIt gives the thousandth document the same attention as the first.
/ EnduranceIt works the night shift you never asked anyone to work.
/ MemoryIt never answers “I think that was in some email.”
This is not a smarter search box, and not a chatbot with your logo on it. It's a worker, with a job description, memory, access to exactly the systems it needs, and no concept of tedium. Your people keep the judgment calls. The agent keeps everything else moving.
/ put it to work
What you'd put it to work on
Every agent is built for exactly one company: yours. Some of the jobs they take over:
An intake that never closes
Invoices, orders, applications are read, checked, and filed the minute they arrive. At 2 p.m. or at 2 a.m. Exceptions reach a human; nothing gets lost.
Your systems, finally acting as one
The agent moves between CRM, ERP, and inbox the way a person would, reading here, updating there, until the numbers agree with each other and the weekly report writes itself.
Customers answered as if your best person never leaves
From your real catalog and your real policies. Instantly, around the clock, in the customer's own words.
File chaos, ended
PDF in, clean Excel out. Excel in, whatever your ERP wants out. Extracted, validated, converted. At any volume.
Entire processes on autopilot
Several agents handing work to each other, from intake to output, end to end, while your people handle the exceptions and the decisions that deserve a human.
If your case isn't on this list, that's normal; the interesting ones rarely are. Describe it in two sentences and we'll tell you whether an agent fits.
/ the part you need to know
You don't need to understand the machinery
The system that builds these agents is years of engineering condensed into an overnight pipeline. That's our side of the deal, and it's the whole company. Your side fits into one calendar day. Nothing ships as slop.
MON 14:00You describe the jobA 30-minute call, in plain language. The only briefing the system needs.
MON 15:00You get a proposal and a contractOne hour later, the scope priced and ready to sign. Build it or don't; that's your last decision.
MON 23:00The system buildsUnattended, through the night.
TUE 08:30A human reviews and testsEvery agent, before it goes anywhere near your data.
TUE 09:00Your agent clocks inWeb interface for your team, REST API for your systems. Fully hosted.
/ evidence
We show the work
All notesEvery company in this field says its agents work. Ours are on the record. We run experiments, put our agents on real tasks, and write up what happened with the record beside it: what was asked, what was built, what held up, and what did not. The same system that produced those results is the one that would build your agent, so the notes are the closest thing to a reference you can read before a single call.
/ faq
Questions, answered plainly
What kinds of tasks are a good fit?
Repetitive work involving knowledge, documents, or data moving between systems: answering questions from your material, processing incoming files, keeping systems in sync, assembling reports. A good rule of thumb: if you could describe the task to a competent temp in writing, an agent can probably do it. Poor fits: judgment calls about people, and anything the EU AI Act classifies as high-risk. We don't build those.
What if the agent makes mistakes?
Occasionally it will, like any worker, human or machine. The difference is in the setup: agents are scoped narrowly, flag cases they're unsure about instead of guessing, and route exceptions to a person. Consequential actions stay with humans. Every agent is monitored in operation, so problems surface early instead of silently.
Do we need technical people on our side?
No. If someone in your company can describe the task, that's enough. The scoping call does the rest. If you do have technical people, they'll appreciate that every agent also comes with a REST API.
Where does our data live?
In an isolated environment per customer; nothing is shared between customers. Every contract includes a GDPR data-processing agreement. If you have specific residency requirements, raise them in the scoping call.
What does it cost to run?
€99–249 per month depending on the tier, covering hosting, monitoring, and maintenance. Model usage (tokens and traffic) is billed separately at cost plus 30%, itemized, so you can see exactly what the agent consumed.
How does it work under the hood?
The short version: each agent runs in its own isolated container, with an LLM that can only reach interfaces we explicitly define, plus storage and a task queue. It handles the usual file formats: PDF, Excel, JSON, HTML. Longer versions will appear as engineering notes on the blog.
What if we cancel?
Operation is billed monthly and you can stop any time. You get an export of your data. There's no exit fee. The agent being useful is what's supposed to keep you.
When can we order?
Commercial launch is planned for early 2027. Until then we're taking a limited number of pilot customers. Details below.
/ pilot
Get yours before the launch
In a few years, a company with agents will be as unremarkable as a company with a website. Right now, it's an advantage, and advantages like this don't stay available for long.
CodeMiner opens for business in 2027. Until then, we build for a small circle of pilot companies whose agents will be working long before the doors open. Pilots get the founder personally on their build, and conditions they'll keep for good: a fixed four-figure setup, not the five figures an agency would quote, plus a modest monthly fee that covers hosting and upkeep.
What we want in return is the good part: a real use case, an honest verdict, and the right to tell the story.
Describe what your agent should do. The interesting cases get a call.