🐍 Python | 🤖 AI/ML | Software Engineer | Practical roadmaps • Hands-on tutorials | Freelance & collabs open | DM 📩

Pune, India
Building a finance AI agent that you can actually trust is a very different problem. You need more than an LLM and a clever prompt. You need RAG, tool use, memory, reasoning, multi-agent architectures, evaluation, guardrails, observability, governance and a way to balance reliability, efficiency and cost. That's what caught my attention about AI Agents for Finance. 'Building AI Agents For Finance' takes a hands-on Python approach to building financial agents with Claude and OpenAI models, and then goes much deeper. You get into: • Agentic RAG and deep research • ReAct, reflection and other reasoning patterns • Multi-agent architectures • Fundamental analysis and trading systems • Insurance and compliance workflows • Agent evaluation and LLM judges • Tracing and observability • Guardrails and human oversight • Deployment, versioning and governance What I like about this book is that it doesn't stop once the agent works. It gets into the questions that come next: • Can you evaluate it? • Can you observe it? • Can you make it reliable? • And what happens when things go wrong? Especially in finance, those questions matter just as much as building the agent itself. If you're working with AI agents, Python, finance or production AI systems, this is a book worth having on your radar. You can grab a copy here link.amazon/B09iExZ7K
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Don't ask a barber if you need a haircut
Local models are useless
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Humans will always hold accountability of actions performed by machines they control
AI writes the code. AI reviews the code. AI tests the code. AI finds a bug. AI fixes the bug. Production breaks. Management: → "Why did the developer write buggy code?"
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Remember 2014 when we were promised Unicorns & Rainbows by a nonbiological mahamanv ? We have a stadium named after him. We spent a lockdown lighting diyas on command And his birthday is now pushed as a massive national PR festival. 12 years on, we are still relying on an IT industry kickstarted in the 1980s and unleashed by the 1991 economic reforms. We failed the core promise of Make In India (manufacturing is stubbornly stuck at 15% of GDP). We failed Vocal for Local. We largely missed the China + 1 bus, losing mass manufacturing jobs to countries like Vietnam. Despite some electronics assembly wins, we don't have the mass job creation promised in 2014, leaving us mostly with religious shenanigans. Now we are sat here worried what happens if IT fails :)
If the IT sector collapses, the impact won’t stop at IT. Real estate, tourism, restaurants, cafés, auto and apparel will feel the heat too. When people are worried about their jobs, a ₹500 coffee or a ₹7,500 pair of shoes stops being a casual purchase.
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Joined the circle trend....
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Jaydeep retweeted
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OpenRouter now have a Jevrouter
What if AI didn't need to talk? Jev takes a different approach: instead of generating text, it makes decisions. No paragraphs. No JSON parsing. Just structured decisions your software can act on. Here’s why that could change AI agents.
Article

Jev vs LLMs: What Happens When AI Is Built for Decisions Instead of Generation?

We have spent the last few years making AI models better at generating text. Ask a question, get an answer. Give it a prompt, get code. Give it a task, get a plan. But software doesn't always need

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Until Nex Year Bappa... "I hope when we meet next year, I tell you stories of my success & not the excuses of my failure" #latepost
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A surprising number of career decisions are delayed because people are waiting for permission. Waiting for the promotion before acting like a leader. Waiting for the title before taking ownership. Waiting for someone to nominate them before sharing an idea. Waiting for the perfect opportunity before starting something of their own. Sometimes the opportunity genuinely needs to come from someone else. But often, there is a smaller version of the thing you want to do that you can start today. You can mentor someone without being a manager. You can improve a process without owning the department. You can write about what you're learning without being an expert. You can build something before anyone calls you a founder. Titles can recognize what you've already demonstrated. They don't have to be the permission slip for becoming that person.
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Who is building a WhatsApp alternative???
No matter how much you report or block them, they still keep popping up.
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WhatsApp has gone to the dogs
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Has AI replaced shoes ?
The only way to save Nike now:
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Smartphone put almost unlimited information into our pockets. Social media then built systems designed to keep us consuming that information for as long as possible. Notifications, infinite feeds, short-form videos, recommendations and autoplay transformed our relationship with attention. Our environment went from occasionally giving us something interesting to constantly offering us something interesting.
Let AI handle the repetitive. Keep the judgment. Let AI handle the first draft. Keep the thinking. Let AI find ten possible solutions. Understand why one of them is right. Let AI make you faster. Don’t let it make you mentally passive.
Article

The Hidden Cost of Convenience: AI, Attention, and Cognitive Fitness

For years, technology promised to make our lives easier. Less physical effort. Less waiting. Less searching. Less remembering. Less repetitive work. And we celebrated every bit of it. Today, however,

Made with AI
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Nice,benefits for locals ?
🚨 Indian Government says 99.2% of smartphones sold in India were made locally in FY2023-24.
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This but for LLMs🤝
Git Tip 💡 You can use `git blame` command to check who last changed each line of a file and when. It’s helpful for figuring out who made specific changes or understanding a file's history.
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