CS

GenAI, Chatbots & Agents

I help companies deploy generative AI into real processes—from chatbots over internal documentation to autonomous workflow agents and LLM integrations in existing applications. I build solutions that are secure, measurable, and maintainable over time.

Use Cases I Cover

RAG over Documentation and Knowledge Bases

A chatbot or assistant that answers from your manuals, FAQs, internal wikis, and product documentation. Users get instant, verifiable answers with cited sources. Suitable for IT support, HR, legal teams, and product departments.

Customer Support Chatbot

A 24/7 AI assistant for web, Slack, Teams, or email. It can handle routine questions, escalate complex requests to humans, and connect to your CRM or order system. Reduces team load and improves response time.

AI Agent for Workflow

An autonomous agent that plans tasks, calls tools, and performs multi-step operations—such as database lookups, report generation, record updates, or approval coordination. Always with limited privileges and human oversight for risky actions.

LLM Integration into Applications

Connecting your web or mobile application to OpenAI, Anthropic Claude, Llama, Mistral, or other models. I ensure safe input and output handling, cost control, and response quality measurement.

Implementation Process

  1. Analysis – identify suitable use cases, data sources, and risks.
  2. Data – prepare, clean, and index content into a vector database.
  3. Prototype – build a working chatbot or agent to validate the hypothesis.
  4. Security – mitigate prompt injection, output XSS, excessive agency, and data leakage.
  5. Evaluation – define answer quality metrics and a test suite.
  6. Operations – deploy to Docker, AWS, or VPS with monitoring and regular updates.

Technologies & Tools

  • LLMs: OpenAI GPT, Anthropic Claude, Llama, Mistral, and other open-source LLMs
  • Frameworks: LangChain, LangGraph
  • Vector Databases: ChromaDB, Qdrant
  • Deployment: Docker, AWS, VPS, or serverless architectures

Selected projects where AI plays a key role:

  • ClawBot – autonomous AI agent with tools for development and operations
  • SEO tools – automated website analysis and recommendation generation
  • AI helpers for content – one-click SEO and translation assistance for editors

Frequently Asked Questions

How do you protect our internal data when using LLMs?
I prefer local or private deployments, vector databases under your control, and strict filtering of what enters the prompt and what can leak from it.

Can the chatbot connect to our internal CRM/ERP?
Yes. I design secure API connections with limited permissions—separating read and write tools and requiring human approval for destructive actions.

How do you measure chatbot answer quality?
I combine automated metrics (relevance, hallucination, context adherence) with human evaluation and periodic reassessment of test questions.

How much does a solution like this cost?
The price depends on data scope, number of channels, required integrations, and operations model. After an initial analysis, I prepare a specific estimate.

Large language models for your workflow. Contact me on LinkedIn or use the form below.

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