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- Two backends, two stores, one TaskManager: how NeuroLink schedules AI work
- NeuroLink Brownfield Integration: Express & Fastify Adapters
- Voice as Three Stream Topologies: TTS, STT, and Full-Duplex Realtime
- Inside NeuroLink's RAG: The generate() Integration Bridge
- Grading the model: the scorer hierarchy and evaluation pipeline
- Why Every Native Provider Must Wire the Same Tool-Persistence Hook
- Inside ConversationMemoryFactory: How NeuroLink Picks and Wires a Memory Backend
- Twenty-four providers, one BaseProvider: the adapter catalog
- From User Input to Provider API: The Five-Stage Message Flow
- Seventeen file processors, six categories, one priority system
- Four-stage context compaction: what runs when the model window fills up
- What You Actually Inherit When You Extend BaseProvider
- Ten ESLint rules that hold NeuroLink's type system together
- Four MCP transports: stdio, http, sse, websocket — picking the right one
- How We Test NeuroLink: 20 Continuous Test Suites and Counting
- GitHub Actions for AI: Automating NeuroLink in Your CI/CD Pipeline
- Conversation Summarization: Smart Context Management for Long Chats
- Dynamic Model Selection: Routing AI Requests at Runtime
- OpenTelemetry for AI: Tracing Every Token Through Your Pipeline
- Live Documentation: Building an MCP Docs Server Inside Docusaurus
- Multi-Scene Video Generation: Directing AI Films with Veo 3.1
- MCP Circuit Breaker: Preventing Cascading Failures in AI Tool Calls
- 5 Reranking Strategies for Production RAG Pipelines
- Lifecycle Middleware: onFinish, onError, and onChunk Hooks
- 10 Chunking Strategies for RAG: A Practical Comparison
- Yama: AI-Native Code Review Powered by NeuroLink
- Gemini 3 Native Integration: Google's Latest Models in NeuroLink
- Tool Annotations: How NeuroLink Auto-Infers Metadata for Smart Routing
- The AI Nervous System: How NeuroLink Routes Intelligence
- MCP Auto-Discovery: Finding and Registering Tools at Runtime
- NeuroLink Client SDKs: React Hooks, HTTP Client, and AI SDK Adapter
- Advanced MCP: Tool Routing, Caching, and Batching Strategies
- Claude Proxy: Multi-Account OAuth Pooling at Enterprise Scale
- Hippocampus: Persistent Memory That Learns Across Conversations
- NeuroLink + Docusaurus: How We Document an AI SDK
- Generating 10,000 Descriptions a Day: Cost-Optimized Content Pipelines
- From Contributor to Maintainer: My Journey with NeuroLink
- How We Scaled to 13 Providers: The Provider Registry Story
- When One Model Isn't Enough: Multi-Model Consensus for High-Stakes Decisions
- NeuroLink v9.0 Release: What's New and Migration Guide
- Multi-Agent Networks: Orchestrating AI Teams with NeuroLink
- Built with NeuroLink: Community Showcase
- The Workflow Engine: Multi-Model Orchestration with Judge Scoring
- Version Migration Guide: Upgrading Between NeuroLink Releases
- EU AI Act Compliance: Building Regulation-Ready AI Applications
- AI Farm Advisory: Agricultural Knowledge Bases with RAG
- Orchestrating Supply Chain AI: Multi-Agent Logistics
- Open Source AI Infrastructure: Why We Open-Sourced NeuroLink
- Video Generation with Veo 3.1: AI-Powered Video Synthesis
- From Raw Data to Reports: Automating Business Intelligence with AI
- Batch Processing: Thousands of AI Responses Efficiently
- Image Generation with NeuroLink: Gemini Imagen and Beyond
- Voice-First Hotel Concierge with Multi-Provider Routing
- Vector Database Guide: Pinecone vs Qdrant vs pgvector with NeuroLink
- Embeddings and Vector Operations with NeuroLink
- PowerPoint Generation with AI: From Text Prompt to Complete Presentation
- AI Streaming in React: Server-Sent Events and WebSockets
- Building a Full-Stack AI Chatbot with Next.js and NeuroLink
- OpenAPI Generation: Auto-Documenting Your AI API
- Server Adapters: Building AI APIs with Hono, Express, Fastify, or Koa
- Extended Thinking: Reasoning Modes with Gemini 3 and Claude
- CI/CD for AI Applications: Testing, Building, and Deploying with Confidence
- How We Built Multi-Provider Failover: Never Losing an API Call
- The Rise of AI Engineering: Why Every Backend Developer Should Learn AI SDKs
- AI-Powered Maintenance Knowledge Base for Manufacturing
- How We Built MCP Integration: Supporting 4 Transport Protocols
- Model Evaluation and Scoring: RAGAS-Style Quality Assessment
- AI Content Localization: Dubbing, Subtitling, and Video Generation
- Configuration Deep-Dive: neurolink.config.ts and Environment Hierarchy
- Context Compaction: Managing Long Conversations Without Losing Information
- How to Reduce LLM Costs by 60% with Smart Model Routing
- Automating Real Estate Document Processing: Lease Abstraction with AI
- Speech-to-Text and Text-to-Speech with NeuroLink
- Building a Slack Bot with AI: Complete Guide
- Event-Driven AI: Building Reactive Systems with NeuroLink
- The Event System: Real-Time Hooks for AI Observability
- AI-Powered Claims Processing: Multi-Agent Workflows for Insurance
- Total Cost of Ownership: NeuroLink vs Direct Provider Integration
- Compliant AI Citizen Services: Document Processing with HITL for Government
- How We Built the RAG Pipeline: 10 Chunking Strategies and Why
- Structured Output from LLMs: JSON Schema Validation in TypeScript
- MCP Server Tutorial: Build Your Own AI Tools in 30 Minutes
- Advanced RAG: 10 Chunking Strategies, Hybrid Search, and Reranking
- Building a RAG Application with TypeScript: Complete Tutorial
- Processing Any Document with AI: 50+ File Types in One SDK
- The AI SDK Landscape 2026: NeuroLink, Vercel AI SDK, LangChain, and More
- How We Built Streaming Tool Calls: Real-Time AI at Scale
- AI Recruitment Pipeline: Resume Screening to Interview Scheduling
- Debugging AI Applications: Tools, Techniques, and NeuroLink's Observability Stack
- Claude vs GPT: Why Choose When You Can Use Both?
- Building an AI Tutoring Platform with Multi-Agent Orchestration
- Prompt Versioning and Management: Treating Prompts as Code
- Building Auditable AI Pipelines: HITL, Guardrails, and Observability for Regulated Industries
- Building an Enterprise Customer Support Bot That Never Goes Down
- SDK vs Gateway: Choosing the Right Abstraction for Multi-Provider AI
- How to Build a Multi-Provider AI Agent in TypeScript (Step-by-Step)
- Building AI Agents with NeuroLink: From Chatbot to Autonomous System
- AI Application Security Checklist: OWASP Top 10 for LLM Applications
- Serverless AI: Running NeuroLink on AWS Lambda, Vercel, and Cloudflare Workers
- From Zero to Production: Deploying Your First NeuroLink App
- AI in Production: Lessons from Serving Millions of Requests at Juspay
- NeuroLink CLI Mastery: 15 Commands Every AI Developer Should Know
- The Middleware System: Analytics, Guardrails, and Custom Pipelines
- Build vs Buy: When to Build Your Own AI Abstraction Layer
- OpenAI-Compatible Endpoints: Connect Any API to NeuroLink
- AWS SageMaker: Custom Model Deployment with NeuroLink
- Hugging Face Integration: 100,000+ Open Models with NeuroLink
- The Hidden Cost of AI Vendor Lock-In
- NeuroLink vs LangChain: When to Use Which (An Honest Comparison)
- Provider Comparison Matrix: Choosing the Right AI Provider
- LiteLLM + NeuroLink: Access 100+ Models via Unified Routing
- Mistral AI Integration: Fast European AI with NeuroLink
- Google AI Studio: Free-Tier Gemini Access with NeuroLink
- The Multi-Model Future: Why No Single AI Provider Will Win
- MCP is the USB-C of AI: Why Model Context Protocol Changes Everything
- OpenAI Integration Guide: GPT-4o, o1, and Beyond with NeuroLink
- Why TypeScript is the Future of AI Development
- How to Switch AI Providers Without Rewriting Code
- NeuroLink Quickstart: 10 Things You Can Build Today
- Getting Started with NeuroLink: Your First AI App in 5 Minutes
- Why We Built NeuroLink: Our Origin Story
- What is NeuroLink? The Unified AI SDK Explained
- Welcome to the NeuroLink Blog