Engineering Ideas, AI Research, & Technical Insights
Deep technical essays, system architecture breakdowns, and research publications from our engineering team on building deterministic artificial intelligence and scalable software systems.
Building Deterministic Agentic Workflows: Beyond Prompt Engineering
A deep technical examination of DAG execution graphs, stateful ReAct planning loops, schema-enforced tool calling, and rollback boundaries in production multi-agent systems.
Building Deterministic Agentic Workflows: Beyond Prompt Engineering
A deep technical examination of DAG execution graphs, stateful ReAct planning loops, schema-enforced tool calling, and rollback boundaries in production multi-agent systems.
Hybrid Dense-Sparse RAG Architecture for Enterprise Knowledge Systems
How to combine BM25 keyword matching with dense Qdrant vector embeddings and cross-encoder re-ranking to achieve 98%+ contextual retrieval accuracy.
Domain Alignment: Fine-Tuning SLMs for Schema-Enforced JSON Output
Why 8B parameter small language models (SLMs) fine-tuned with LoRA adapters can outperform 70B models in specialized, sub-100ms structured extraction pipelines.
Software + AI Convergence: Microservices Infrastructure for Machine Intelligence
Architecting high-concurrency microservices, Next.js edge frontends, asynchronous Redis event queues, and Python FastAPI AI endpoints.
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