Engineering & AI Blog
Explore AI engineering, multi-agent orchestration and data architecture.
How to Reduce OpenAI API Costs by up to 80% Using Distilled SLMs and vLLM
Paying per-token for repetitive business tasks destroys gross margins. Learn how we distill specialized 8B parameter models achieving sub-200ms latency and 80% cloud savings.
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Modern Backend Architecture with Bun, Elysia, and PostgreSQL: The Definitive Guide to Migration, Strict Typing, and Cloud Cost Reduction
How technology companies and enterprise teams are eliminating legacy runtime overhead, achieving sub-millisecond latencies with Bun and Elysia, and shielding their schemas with Drizzle and PostgreSQL.
The Definitive Guide to Enterprise WhatsApp AI Agents: From Meta Cloud API to Database Orchestration and Human Handover
Learn how to design, architect, and deploy enterprise AI agents on WhatsApp using Meta's Official Cloud API, avoiding line bans and connecting legacy systems to deterministic language models.
Enterprise RAG with PostgreSQL and pgvector: Why We Left Dedicated Vector DBs
Why unifying relational data, tenant permissions, and vector embeddings inside PostgreSQL 16 with pgvector beats standalone vector databases on latency, ACID consistency, and cost.
Fine-Tuned SLMs vs. Frontier LLM APIs: The Real Cost and Performance Math
For high-volume, repetitive enterprise workloads, a fine-tuned Small Language Model (SLM) beats frontier closed APIs on cost, latency, and data privacy. Here is the exact mathematical breakdown.
WhatsApp AI Agents: How to Qualify Inbound Leads and Book Deals 24/7
A traditional chatbot follows a brittle script. An autonomous AI agent interprets intent, queries backend databases, and closes meetings in under 3 seconds.
Private AI: Fine-Tune on Your Data, Not in the Cloud
Specialized models do not require transmitting your proprietary data to public clouds. Private deployment keeps IP, compliance, and sensitive customer data entirely under your control.
Enterprise AI Data Privacy and Compliance: Building Sovereign Systems Without Leaks
How enterprise engineering teams safely deploy AI over confidential databases: isolated RAG architectures, real-time PII anonymization, and private cloud deployment.
Voice AI Agents on WhatsApp: Low-Latency Pipeline and Neural Speech Synthesis
How the Prometheus audio pipeline transcribes, reasons, and replies to WhatsApp voice notes in under 1.5 seconds with human prosody and high commercial conversion.
Prometheus: Multi-Agent Orchestration via Model Context Protocol (MCP)
How the Prometheus orchestrator coordinates specialist agents, manages inter-model latency, and executes critical tasks with end-to-end auditability and zero vendor lock-in.
Observability for AI Agents: Tracking Token Costs, Latency, and Spans with OpenTelemetry
How MSC Company monitors multi-agent AI systems with OpenTelemetry: granular span hierarchy, real-time token cost accounting, and instant bottleneck detection.
Elysia vs. FastAPI: Serving 200k+ Req/Sec on Bun Runtime with Eden Treaty
Why we standardized our high-throughput backend APIs on Elysia + Bun: massive request throughput, zero-reflection JIT schema validation, and seamless type-sharing with Next.js.
Drizzle ORM vs. Prisma: Why We Dropped the Rust Engine in Production
Why we migrated our entire enterprise persistence layer to Drizzle ORM: zero Rust engine overhead, pure type-safe SQL, and instant cold starts.
PostgreSQL as the Single Source of Truth: Unifying JSONB, pgvector, and Relational ACID
Why consolidating relational schemas, semi-structured JSONB, full-text search, and vector embeddings into a single PostgreSQL 16 engine beats maintaining five specialized databases.
Modular Monoliths vs. Microservices: The Pragmatic Architecture of MSC Company
How the Modular Monolith pattern allows our holding to ship products and autonomous AI systems with record velocity, without the operational tax of dozens of microservices.