01 / Integration
LLM Apps & Assistants
Production integrations with OpenAI, Gemini & Claude — token streaming,
function/tool calling, structured output and graceful fallbacks. Built right into
Flutter & Node.js apps with proper error, cost and rate-limit handling.
OpenAIGemini
ClaudeStreaming
Tool calling
02 / Retrieval
RAG & Knowledge Systems
Context-aware assistants grounded in your own data — embeddings, vector search,
chunking strategies and retrieval pipelines that cut hallucinations and keep answers
accurate, current and on-brand.
RAGEmbeddings
Vector searchPipelines
03 / Edge
On-device & Offline AI
Privacy-first, low-latency inference that runs without a network — TFLite models,
on-device Whisper speech-to-text and quantized pipelines for mobile, desktop and
Linux. Ideal where data can't leave the device.
TFLiteWhisper
On-deviceQuantization
04 / Tooling
MCP Servers & AI Agents
Custom Model Context Protocol servers and agent tooling that let LLMs safely act on
your systems — the exact stack behind aacstandard.com's TypeScript
MCP integration and its AI symbol-generation API.
MCPAI Agents
TypeScriptTool APIs
05 / Voice & Multimodal
Voice, Speech & Generation
Real-time AI voice engines, speech-to-text and text-to-speech, plus AI image/symbol
generation — the production tech proven in aisay.co, serving
non-verbal users with natural, context-aware responses.
AI VoiceSTT / TTS
Image genRealtime
06 / Strategy
From Prototype to Product
Co-founder experience taking AI from idea to App Store — prompt engineering &
evaluation, latency & cost optimisation, Clean Architecture and the CI/CD to ship
it. Including ObywatelBielik, Poland's first open-source LLM project.
Prompt eng.Evals
Cost / latencyOpen-source LLM