Notes from the work
What deploying AI and custom software inside a company actually looks like: what costs what, what breaks, and what to ask a supplier.
7 min readHow to choose a custom software supplier in SK/CZ, and what to ask
Five areas to go through before signing: architecture, code ownership, GDPR, verifiable references and post-launch support. Plus the warning signs.
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6 min readHow AI automation works for law firms
Contract review, precedent search, compliance monitoring and due diligence — and why in a legal setting it is the architecture that decides, not the model.
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8 min readSecurity risks when deploying an LLM into company processes
Six risks that come not from the model but from the architecture around it: data leakage, prompt injection, access separation, agent actions, hallucination and auditing.
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6 min readHow a multi-tenant vector database serves many clients at once
One AI infrastructure for dozens of clients without their data mixing: metadata filtering, the architectural decisions that matter, and the isolation tests.
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7 min readWhat custom software costs compared with off-the-shelf SaaS
Cost compared over three to five years: when a subscription wins, when building your own wins, and the hidden costs on both paths.
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7 min readWhat a custom AI agent costs to build for a B2B company
What actually drives the price of an AI agent: scope of autonomy, integrations, RAG infrastructure, compliance, and the running costs suppliers rarely mention up front.
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6 min readWhat an AI agent is and how it differs from a chatbot
A chatbot answers the question; an agent completes the task. The architectural difference, three levels of autonomy, and when each is enough.
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6 min readWhat RAG is and how it works in enterprise chatbots
RAG explained for companies: how the model answers from your own documents, when it beats fine-tuning, and what decides the quality of a deployment.
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