AGENTS

Book: Build Human-Centered Generative AI Systems with Context-Aware Agents

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25 June 2026 5h25

"Building Business-Ready Generative #AI Systems — Build Human-Centered Generative AI Systems with Context-Aware Agents, Memory, and LLMs for the Enterprise" at https://
amzn.to/3Jdcio5 v/ @PacktDataML Learn:
Implement an AI controller with a conversation AI agent and

→ View original post on X — @futurepedia_io

Computer for Counsel: agentic legal tool with real statute links

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@futurepedia_io

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25 June 2026 5h16

It's called Computer for Counsel. Not a chatbot with a law-themed prompt — an agentic system that runs the grunt work: NDA review, case research, regulatory monitoring. The catch that matters: every output links back to the real statute, filing, or ruling.

→ View original post on X — @goodside

LLMs should request delay for hard questions or provide quick guesses

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@goodside

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25 June 2026 5h13

This asynchrony really should exist in normal one-on-one chatbot interactions. When you pose ask a hard question to an LLM it should say, immediately, “This is a hard problem — give me 15m.” If that’s an issue, you should be able to say so and get a quicker guess.

AI Agents in Action: Hands-on with OpenAI Assistants API and patterns

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25 June 2026 4h52

AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools

→ View original post on X — @scobleizer

AI employee tested with real Slack task outperforms many others

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@scobleizer

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25 June 2026 3h57

I have tested a lot of AIs (8,800+ companies on my AI lists here on X). This is one that does the work instead of talking about it. I put an ai employee into my Slack and gave it one real task from my week, not a demo prompt. A month of AI notes, saved threads, demo recordings,

Book on NLP from foundations to agents with RAG pipelines

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25 June 2026 1h06

“Mastering NLP From Foundations to Agents” by Lior Gazit and Meysam Ghaffari, from @PacktDataML http://
amzn.to/4nJrLw4 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗶𝘀:
Engineer NLP systems from ML foundations to LLM architectures
Implement RAG pipelines, routing layers, and agent workflows

Evaluating AI Agents Bootcamp June 27 by Packt

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25 June 2026 1h02

Evaluating AI Agents — Bootcamp on June 27 hosted by @PacktPublishing @PacktDataML — register with my discount code 'KIRK50' at this link to save: https://
eventbrite.co.uk/e/agent-evals-
bootcamp-tickets-1990306501323?aff=kirk
… Participants will be guided through the fundamentals of Evaluating AI Agents, covering: Why modern

→ View original post on X — @jiqizhixin

AI agent NEWTON uses keyframes and simulators to enforce physics

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@jiqizhixin

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25 June 2026 0h25

Why do AI-generated videos keep breaking the laws of physics? Researchers from Zhejiang University, HK PolyU, and IROOTECH present NEWTON. Instead of fixing the video generator, they built an AI agent that plans physics using tools like keyframes and scientific simulators—then