But most companies still need Automation first. Over the past few months, I've seen countless discussions about AI Agents, MCPs, autonomous workflows, and the latest AI models. The technology is impressive. But here's the reality: Many organizations are still struggling with basic operational workflows. 📊 Reports are created manually. 📧 Emails are routed manually. 📋 Data is copied between systems. 🔧 Maintenance records are updated by hand. ⏳ Teams spend hours on repetitive tasks every day. Before asking: "How can we deploy AI Agents?" Ask: "Have we automated the process yet?" Because AI Agents perform best when they operate on top of: ✅ Structured workflows ✅ Clean and accessible data ✅ Well-defined business rules ✅ Standardized processes ✅ Measurable outcomes Without that foundation, AI doesn't solve the problem. It simply automates the chaos. In many cases, a well-designed automation workflow can deliver more business value than an advanced AI Agent. The future is not: Automation OR AI Agents. The future is: Automation → AI → AI Agents Build the foundation first. Then scale intelligence. What's your experience? Are companies rushing into AI Agents before fixing their underlying processes? Decoding Data Science DDS Business Circle Mohammad Arshad #AI #AIAgents #Automation #ArtificialIntelligence #n8n #DigitalTransformation #BusinessAutomation #WorkflowAutomation #MachineLearning #DataDriven #Industry40 #IndustrialAutomation #TechLeadership

And I’m doing an emergency AI Builder Session today to break down what it means for developers, data scientists, and people building AI applications. This will be useful if you are: - Exploring LLMs and AI agents - Building AI apps or prototypes - Participating in the Build AI Application Challenge - Trying to understand how the latest AI tools can speed up development As a special gift for our active Skool community, I’m giving free access to this session today. https://nas.com/artificialintelligence/events/emergency-session-claude-fable-mythos Comment CLAUDE below and I’ll DM you the coupon code. The session is happening today, so comment now if you want access.

Recently Yesterday! I attended an incredibly insightful "Emergency Session" on the new Claude models hosted by @Arshad Ahmad. If you are actively building and deploying AI applications, the landscape just shifted. 🚀 🤖We moved past the release notes and straight into Python notebooks to see how to actually implement Fable 5. We didn't just look at benchmark scores; we got under the hood to see exactly how Anthropic's new Claude Fable 5 actually impacts the systems we build. For anyone developing autonomous agents or practical AI solutions, this session was pure gold.🌟 💪Here are my biggest takeaways on turning these updates into production-ready solutions: ⫸ Smart Model Routing is Everything: We explored a Model Routing Decision Framework that proves the winner is not always the most expensive model. We mapped out when to use Haiku 4.5 for speed, Sonnet 4.6 for default tasks, Opus 4.8 for depth, and Fable 5 for premium, long-context tasks. ⫸ Fable 5 as a Senior Architect: Instead of just treating it like a chatbot, we looked at deploying Fable 5 as a senior AI application reviewer. It's incredibly powerful for spotting missing risks, finding architecture weaknesses, and assessing production readiness. ⫸ AI as a Judge: We broke down a Model Evaluation Flow where Fable 5 acts as a judge, merging outputs from Haiku, Sonnet, and Opus to generate a comprehensive evaluation report. ⫸ Adaptive Thinking & Cost Control: We analyzed the tradeoffs between "medium" and "high" effort prompting—balancing faster responses and lower costs against deep architectural thinking. We even tracked real-time API token usage and costs directly in a Colab notebook.🐍 Building practical AI is all about choosing the right tool for the job. Huge thanks to Decoding Data Science for an event that focused on real-world execution rather than just theory! #ClaudeFable5 #Anthropic #AIArchitecture #GenerativeAI #AICommunity #Developers #DecodingDataScience #DDSBusinessCircle #aiGuild #AiResidency #MachineLearning #Python

This will be a practical session where we will look at how to use the model for real AI applications, projects, prototypes, and advanced workflows. We will cover: * What is new in Claude Fable 5 * How it compares with other Claude models * How to use it in Python and Colab * Prompt caching and cost-aware usage * Advisor-style workflows for coding and complex reasoning * Practical examples for AI application builders This session is free for our AI Guild community members. Event link: https://nas.com/aiguild/events/emergency-session-claude-fable-mythos For others who want to join and try it out, please check the event details here: https://nas.com/artificialintelligence/events/emergency-session-claude-fable-mythos

Excited to be joining the Building AI Application Challenge by Decoding Data Science! I'm taking the LLM/API Integration path and building my first real AI application over the next few days. Follow along for updates! #AI #ArtificialIntelligence #MachineLearning #BuildingAIApplications #DecodingDataScience #AIChallenge DDS Business Circle