Putting AI to work in a business: chatbots grounded in your own data, private LLMs, document extraction, and how to start an AI project that delivers.
6 articles
AI Development10 min read
How AI reads invoices, receipts, ID cards, and forms and turns them into structured data, how OCR and large language models fit together, why validation and human review still matter, how to measure accuracy, and what to watch for with personal data.
AI Development9 min read
Picking a first use case that can succeed, checking whether the data is ready, choosing between an AI API and a self-hosted model, running a pilot with a test set, the cost components, and the risks to manage from the first week.
AI Development9 min read
What the WhatsApp Business Platform offers compared with the WhatsApp Business app, how the 24-hour customer service window and message templates work, going through Meta or a provider, number setup, integrating with your systems, adding a chatbot, and why unofficial tools are risky.
AI Development9 min read
A guide for business owners considering an AI chatbot: how it differs from a rule-based bot, when it pays off, examples by industry, choosing between website, Telegram, and WhatsApp, what drives the cost, and how to measure the results.
AI Development10 min read
How to run open-weight language models on your own servers with Ollama: when self-hosting makes sense, sizing GPU memory, Ollama versus vLLM, securing the API, and evaluating quality on your own data.
AI Development10 min read
How retrieval-augmented generation lets a chatbot answer from your own FAQs, catalogue, and policies: preparing documents, chunking, hybrid search, live system data, human handover, and measuring quality.
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