NOLVY DIGITAL EDITION
From API Integrations to Production Multi-Agent Systems & Evaluation Flywheels
Navigating LLM application development beyond basic prompt wrappers requires concrete architecture patterns: structured outputs, defensive schema validation, semantic retrieval optimization (hybrid RAG with reranking), stateful multi-agent orchestrations, and deterministic evaluation benchmarks. This playbook delivers battle-tested system designs, token cost optimization models, and concrete TypeScript & Python blueprints used in production environments.
This publication is written and presented in English (International). We transparently disclose the true content language of every resource.
Deep-dives into prompt routing, chunking strategies, and agent control loops.
Ready-to-fork code templates for hybrid RAG and agent tool execution.
Figma and high-res SVG schematics for LLM cache layers and evals.
Interactive spreadsheet for estimating latency, cache-hit savings, and provider costs.
A tactical, zero-fluff playbook providing battle-tested financial models, pricing tier frameworks, customer onboarding workflows, and legal checklists for lean online businesses.
An advanced operational manual for crafting deterministic system prompts, meta-prompts, tool-use schemas, and evaluation rubrics across Gemini, Claude, and GPT-4.