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Breaking Productivity

How to Build RAG-Powered Legal Citations with Gemini 1.5 Pro

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 Deepak Bagada
4m read
Briefing AI Workflows

How to Automate E-commerce Catalog with Vision AI and Make

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 Deepak Bagada
3m read
Deep Dive Agentic AI

How to Automate Supply Chain Research with LangGraph and Claude

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 Deepak Bagada
3m read
Founder Story AI Workflows

How to Build Agentic Security Ops for Automated Remediation

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 Deepak Bagada
4m read
Breaking AI Workflows

How to Build an Autonomous Support Swarm in 120 Minutes

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 Deepak Bagada
4m read
Founder Story Agentic AI

Anthropic CEO Calls for Urgent AI Regulations in 2026 Essay

Anthropic CEO Dario Amodei called for urgent binding AI regulations in his June 2026 essay Policy on the AI Exponential. He proposes mandatory third-party testing for frontier AI models across four risk categories: cyber...

Deepak Bagada Deepak Bagada
9m read
Research Breakdown Productivity

AI Advancing Faster Than Our Ability to Understand It

Microsoft's Eric Horvitz and EPFL's Robert West warn that AI is advancing faster than our ability to understand it. Three trends are making AI more opaque: AI judges scoring other models, multi-agent AI societies, and LL...

Deepak Bagada Deepak Bagada
8m read
Founder Story Productivity

Microsoft MAI-Thinking-1 Matches Opus 4.6 on SWE-Bench Pro

Microsoft MAI-Thinking-1 is a 35B active parameter sparse MoE reasoning model (approximately 1T total parameters) that matches Claude Opus 4.6 on SWE-Bench Pro at 52.8% and achieves 97% on AIME 2025. It was trained from...

Deepak Bagada Deepak Bagada
7m read
Briefing AI Workflows

NVIDIA Nemotron 3 Ultra Powers Long-Running Agent Workflows

NVIDIA released Nemotron 3 Ultra, a 550-billion parameter mixture-of-experts model with only 55 billion active parameters per token, optimized specifically for long-running agent orchestration workloads. The model uses h...

Deepak Bagada Deepak Bagada
8m read
Founder Story LLMs

Jeff Bezos Prometheus Raises $12B for Physical AI Engineer

Prometheus, the Jeff Bezos-backed physical AI company, raised $12 billion at a $41 billion valuation to build an artificial general engineer that automates the design and manufacturing of complex physical systems. The co...

Deepak Bagada Deepak Bagada
8m read
Research Breakdown Agentic AI

Cohere North Mini Code Runs Agentic Coding on One H100

Cohere North Mini Code is a 30B total parameter MoE model with 3B active parameters, built for agentic software engineering and released under Apache 2.0. It runs on a single H100 GPU at FP8 precision with a 256K context...

Deepak Bagada Deepak Bagada
7m read
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