01
Dynamic vs Static Prompts: Which Costs More to Maintain?
Compare maintenance costs of dynamic vs static prompts in production AI. Learn when each approach makes sense and how to minimize operational overhead.
Sebastian Mondragon
CEO & Founder
AI System ArchitectureLarge Language ModelsRAG SystemsAI Agent DevelopmentEnterprise AI Strategy
Sebastian Mondragon
CEO & Founder
AI systems architect and founder of Particula Tech, building production-ready AI solutions for enterprises worldwide.
AI System ArchitectureLarge Language ModelsRAG SystemsAI Agent DevelopmentEnterprise AI Strategy
About
Sebastian Mondragon is the founder and CEO of Particula Tech, an AI consulting and development company that has delivered over 600 AI solutions to 450+ clients worldwide since 2023.
With deep expertise in building production-ready AI systems, Sebastian specializes in architecting solutions that handle real-world scale and complexity. His approach combines rigorous engineering discipline with practical business understanding, focusing on AI implementations that actually ship to production rather than remaining proof-of-concepts.
Before founding Particula Tech, Sebastian worked extensively on enterprise software systems, developing a strong foundation in building reliable, scalable applications. This background shapes his philosophy that AI systems need the same engineering rigor as any other production software: proper architecture, comprehensive testing, monitoring, and maintenance plans.
Sebastian writes regularly about AI development best practices, from technical deep-dives on RAG systems and AI agents to strategic guidance on when and how businesses should adopt AI. His writing reflects hands-on experience solving real problems for clients across manufacturing, professional services, healthcare, and retail industries.
Articles by Sebastian (81)
02
Legal AI: How Law Firms Are Actually Using It in Practice
Discover how law firms are implementing AI for document review, legal research, and contract analysis. Real use cases, adoption statistics, and practical implementation guidance.
03
HIPAA Compliant AI for Healthcare: Implementation That Works
Learn how hospitals and clinics implement AI while meeting HIPAA requirements. Practical guidance on BAAs, PHI protection, and the 2026 regulatory landscape for healthcare AI.
04
Human-in-the-Loop for AI Agents: When to Require Approval
Learn when AI agents should require human approval before taking action. Practical guidance on balancing automation efficiency with risk management based on real production implementations.
05
Function Calling vs ReAct Agents: Which Pattern Fits Your Use Case
Compare function calling and ReAct agent patterns with practical guidance on when to use each. Learn implementation tradeoffs, performance characteristics, and decision frameworks.
06
How to Tell If Your RAG System Actually Works
Most teams measure RAG success with vibes, not metrics. Learn the specific evaluation approaches that reveal whether your retrieval pipeline delivers accurate, relevant results.