Services

Production chatbots, end to end.

I help teams ship custom AI as a contractor - grounded in your data, with context engineering, guardrails, and deployment built in from day one.

Why chatbots

What this actually is - and what it fixes

A chatbot isn’t a gimmick or a generic ChatGPT wrapper. It’s an assistant built on your documents, your policies, your product - that answers in seconds, cites where it found the answer, and knows when to say “I don’t know.” The useful ones are grounded, tested, and deployed - not demoed once and forgotten.

The answer exists - somewhere

Policies, manuals, tickets, Confluence pages, PDFs. Your team knows the knowledge is there. Finding it in time is another story.

The same questions, every week

Your best people become human search engines - interrupted, repeating themselves, doing work that doesn’t need a human.

New people take months to catch up

Tribal knowledge lives in heads and scattered docs. Onboarding means asking around and hoping someone remembers.

Real stories

ScioBot

Education · 60,000 teachers

Before

Czech teachers needed teaching methods and materials buried across millions of articles and internal resources. Searching took longer than preparing the lesson.

After

An assistant that searches 8 million articles in seconds - with sources, in plain language. 3,000 schools adopted it. AI Awards 2024. An estimated 11+ years of manual work saved for educators.

60,000 users

hanakahleova.com

Health · built with my mum

Before

A physician spent decades researching type 2 diabetes and obesity. The evidence existed - in papers, talks, and notebooks - but reached only the patients in her office.

After

A platform and AI assistant grounded in her research, helping far more people than one clinic ever could. Proof that the right bot isn’t about tech - it’s about getting knowledge to the people who need it.

Family project

That’s the pattern: knowledge your organization already has, delivered to the people who need it - without another meeting, another search, or another “who do I ask about this?” If that sounds like your problem, let’s talk.

What I build

Custom AI agents

Autonomous systems that plan, route, and execute - from internal workflow bots to customer-facing assistants with guardrails and evals built in.

Enterprise RAG

Retrieval pipelines at scale - hybrid dense-sparse search, chunking strategies, citation, and the eval loops that keep answers honest in production.

Data extraction

Web mining with Playwright, structured pipelines, and clean hand-offs into your knowledge base - the data layer your bot actually needs.

Who I work with

  • Teams with docs, tickets, or knowledge bases that nobody can search fast enough
  • Companies outgrowing a chatbot demo and needing something production-ready
  • Enterprises that need on-prem or air-gapped LLM options, not just SaaS wrappers

Typical engagement

Scoping call

30 min · free

You describe the problem, I ask the hard questions. We leave knowing whether I am the right fit and what a first slice could look like.

Prototype

2-4 weeks

A thin vertical slice with real retrieval, citation, and an eval harness - so we measure before we scale.

Production

Ongoing

Guardrails, deployment, monitoring, and judge loops. You get a bot that improves, not one that drifts.

Fixed price

Starter build

$999

One chatbot on your own content, or one marketing site of up to five pages - designed to match your brand and deployed on your domain. Fixed price, fixed scope, nothing to estimate and no proposal to wait for.

Anything bigger than this needs a scoping call first. If your brief turns out to be the wrong size for it, I will say so on the kickoff call and refund you rather than take the money.

What $999 covers

Included

  • One chatbot on your own content, or one marketing site of up to five pages
  • Design that matches your brand, responsive on phones
  • Deployed on your domain, with the accounts in your name
  • One round of revisions after you have seen it
  • A kickoff call and a handover call

Not included

  • Custom integrations into your internal systems
  • Ongoing maintenance, hosting bills, or model usage costs
  • Content writing, photography, or translations
  • Anything that needs a team - I will tell you on the call if it does

If we get on the kickoff call and decide it is not the right fit, I refund the full amount. Paying does not lock you in.

0 / 4000

What you write travels with your payment to Stripe and to my inbox. Nowhere else.

How I work

01

Scoping

What should the bot know, who uses it, what does "good" look like? I define evals before writing prompts.

02

Build

RAG pipeline, agent orchestration, guardrails - your stack (.NET or Python), your data.

03

Ship

Deployment, monitoring, judge loops in production. You get a bot that improves, not one that drifts.

FAQ

RAG or fine-tuning - which do I need?
Usually RAG first. If your bot needs to know your content, retrieval beats retraining every time a doc changes. Read more
How do you stop the bot from making things up?
Ground every answer in retrieved passages, teach explicit "I don't know" fallbacks, and evaluate before you ship. Read more
Can you work on-prem or with our own LLMs?
Yes - I have shipped on-prem LLM infrastructure at OKlab. We can scope air-gapped or hybrid setups from day one.
What do you need from us to start?
Sample documents or data sources, a stakeholder who knows the use case, and clarity on who the users are. I handle architecture through deployment.
How long until something is live?
A working prototype in 2-4 weeks is typical. Production depends on scope, integrations, and how messy the source data is.
I only have one question, not a project.
Then buy a written answer instead of booking a call. Fixed price, fixed deadline, refunded if I am not the right person to answer it. Read more

Or email directly: aneta.kahleova@gmail.com