Build a robust, autonomous incident response system using CrewAI and PydanticAI that handles SLA-breach scenarios, orchestrating multiple AI agents for triage, investigation, and resolution.
Deepak BagadaAug 07, 2026
Design a highly scalable, event-driven financial audit system utilizing LangGraph for complex compliance workflows and Qdrant for semantic hybrid search over unstructured financial records.
Create a cutting-edge self-healing infrastructure using AutoGen agents that continuously analyze Prometheus metrics to detect, diagnose, and remediate Kubernetes cluster anomalies in real time.
Learn how to build a highly scalable, stateless FastMCP TypeScript Server integrated with Supabase Vector and secured by OAuth 2.0. This deep dive covers schema definitions, Claude Desktop configuration, and advanced token security.
Discover how to build an Enterprise Hybrid MCP Server connecting GitHub and Jira for autonomous CI/CD triage. This guide includes complete Python SDK code, OAuth 2.0 token security, and configuration for Claude Desktop.
Explore the new Stateless MCP Specification 2026 and learn how to architect zero-session cloud-native AI connectors for scalable, low-latency agentic workflows. Maximize financial ROI while adhering to modern token economics.
A financial RAG synthesizer is an agentic AI system that uses LangGraph and Llama 3.1 to automate complex financial analysis by retrieving SEC filings, market data, and news sentiment in a stateful graph. Financial firms...
Deepak Bagada
Monitoring brand reputation with LangChain and RSS involves building an autonomous AI agent that scans news feeds, analyzes the sentiment of mentions using models like GPT-4o, and triggers alerts for potential PR crises....
Deepak Bagada
Building an automated prospecting agent involves using n8n to orchestrate a pipeline between Apollo.io for lead discovery and Claude 3.5 Sonnet for real-time qualification. Companies using this autonomous system report r...
Deepak Bagada
RAG-Powered Legal Citations is a multi-agent AI architecture that uses Gemini 1.5 Pro and Pinecone to verify the accuracy of legal briefs. By retrieving the full text of cited cases from a vector database and analyzing t...
Deepak Bagada
Automating an e-commerce catalog with Vision AI involves using a multimodal model like GPT-4o to analyze product photos and automatically generate SEO-friendly titles, descriptions, and tags. By integrating this with Mak...
Deepak Bagada
Deep research for supply chains uses LangGraph and Claude 3.5 Sonnet to build autonomous agents that monitor logistics risks, demand trends, and supplier reliability. By using stateful cyclical logic and the Model Contex...
Deepak Bagada
Agentic Security Ops is a framework that uses autonomous AI agents—typically powered by GPT-4o or Gemini 1.5 Pro—within orchestration platforms like n8n to investigate security alerts and execute remediation steps. By mo...
Deepak Bagada
An internal HR oracle built with n8n and Pinecone uses agentic RAG to automate policy inquiries, resulting in a 60% reduction in onboarding time and resolving 94% of routine questions in 2026.
Deepak Bagada
An autonomous support swarm uses n8n and LangChain to coordinate multiple specialized AI agents that resolve customer queries without human triage. By assigning tasks to specialist agents for technical, billing, and acti...
Deepak Bagada
