HeyJaredAI with Aish
Most Followed Indian Woman in AI | 1M+ followers across platforms | Startup AI Advisor + Investor | LinkedIn Top Voice | Author- What's Your Worth?
- Indexed issues, last 90 days
- 12
- Latest publication
- Sep 26, 2026
- Audience
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- Earliest in this view
- Jul 24, 2026
Latest issues
Generative AI Explained (opens the original)
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Everyone is talking about AI, ChatGPT, and agents, and almost no one explains how any of it actually works in plain English. If you have ever felt overwhelmed by the jargon, this is your complete crash course. No prerequisites, no hand-waving. By the end you will understand the landscape and know your first concrete step.There is a growing AI literacy gap, and it is not your fault. The field buries newcomers under acronyms, LLM, RAG, fine-tuning, agents, tokens, and assumes you already know the
How to Do Agentic Data Analysis in 2026 (opens the original)
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Agents can now retrieve a dataset, clean it, run exploratory analysis, train a baseline, and write the report, with no human touching the procedural steps. So the question everyone is asking is fair: is the data scientist obsolete? The short answer is no, but the job has changed shape, and the reason why is the most important thing in this post.Something genuinely shifted at the intersection of AI and data science, and it changed how the work gets done. The systems deployed today do not just gen
4 Months Left in 2026: Here Is Your 100-Day Plan for AI Upskilling (opens the original)
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No theory dumps. No 40-course reading lists you will never finish. This is a sequenced, build-first plan with a concrete deliverable every two weeks. Follow it in order, ship the artifacts, and by December you will have a portfolio that proves you can do AI engineering, not just talk about it.There are about 100 working days left in 2026. That is enough time to genuinely change your trajectory as an AI engineer, but only if you stop consuming and start building. The single biggest mistake I see
Building Context-Rich Agents With LlamaIndex Workflows (opens the original)
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The best agents are not the ones running the smartest model. They are the ones wired into the right context. Here is exactly how I build them with LlamaIndex Workflows, step by step, with the patterns I actually use.I want to start with the single idea that changed how I build agents: most useful agents depend on proprietary context, not just model intelligence. The model is a component you rent, and everyone rents roughly the same ones. Your edge is not the model. It is the private data, the to
World Models Explained: Everything You Need to Know (opens the original)
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“World model” is one of the most important and overloaded phrases in AI right now. The idea began with agents learning an internal model of an environment so they could predict what would happen before acting. It now also covers interactive generated worlds, 3D spatial models, and foundation models for robotics. The useful question is not who uses the label. It is what the system represents, predicts, and lets an agent do.<a class="image-link image2 is-viewable-img" href="https://substackcdn.com
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