The AI-first GTM strategist: agents, workflows, and knowing when to stop
Most GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?
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How I turned 100 messy pdfs into structured insights by building a deterministic loop around agents The post Stop Using LLMs Like Giant Problem Solvers appeared first on Towards Data Science.
Read full articleMost GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?
The vendor’s growth parallels the explosive emergence of agents in enterprise AI.
Given that the stock trading app operates in a highly regulated industry, the company’s move to use agents could prompt other finance firms to take a bold step and do the same.
Google launched Gemini 3.5 Flash, its most powerful coding and agentic AI model yet, at the company's annual developer conference. It is capable of autonomously executing complex tasks and building software from scratch.
The post AI and Web3: How the Two Narratives Are Converging appeared on BitcoinEthereumNews.com. Artificial intelligence and Web3 used to feel like separate technology stories. AI was about models, automation, data, and productivity. Web3 was about ownership, crypto assets, open networks, wallets, and programmable money. Today, that separation is becoming harder to maintain. The reason is simple: AI systems are becoming more agentic, while blockchains are becoming better at handling identity, settlement, coordination, and programmable financial activity. If AI agents can search, compare, negotiate, and act on behalf of users, they may also need wallets, permissions, spending limits, reputation systems, data access, and audit trails. For crypto investors and Web3 users, the convergence of AI and Web3 is both an opportunity and a risk zone. It could create demand for decentralized compute, smart wallets, stablecoin payments, oracle infrastructure, data networks, and agent marketplaces. B
Explore how AI and Web3 are converging through agents, wallets, data, compute, payments and crypto infrastructure - plus key risks to watch.
Personal AI doesn’t have to run your life to change it. It just must see you clearly and feed your behavior back to you in a way you can’t dodge. Once you look at AI as feedback loops instead of little butlers, the whole “agent” conversation starts to feel upside down. We’ve overrotated on agents […]
Nadia Piet & Archival Images of AI + AIxDESIGN / AI Am Over It / Licenced by CC-BY 4.0 By Misia Temler, University of Sydney With so many artificial intelligence (AI) products on offer now, it’s increasingly tempting to offload difficult thinking tasks to chatbots, agents and other tools. As we chart this new technological […]