Temporal's Value Proposition for Agentic AI - Temporal positions itself as a solution for building reliable and scalable agentic AI applications, addressing the inherent unreliability of LLMs and the complexity of distributed systems [2][3][7] - The company's mission is to outsource reliability and scalability, allowing developers to focus on business logic [7][8] - Temporal offers language-idiomatic SDKs and handles plumbing code, ensuring reliable process execution and providing guardrails [8][9] - Customers are currently running agents on Temporal at scale in production, experiencing agility and speed in development [12][13] Technical Architecture and Impact - Temporal introduces a workflow abstraction to simplify complex interactions between LLMs, chat history databases, and tools [15][17] - Using Temporal can accelerate development, with case studies showing feature delivery velocity improvements of over 6x [18] - Temporal Cloud handles the heavy lifting of reliability and scalability, while the agent's code runs in the user's environment [28][29] - Temporal is an open-source product, offering a code exchange for developers to explore and utilize [31] Customer Success and Adoption - Dust and other companies are building agents on top of Temporal [11] - Gorgeous, a customer service provider for brands like Reebok and Timbuktu, uses AI agents built on Temporal [11][12] - A consumer application customer is scaling with events without needing to handle scale logic [19]

https://www.linkedin.com/in/markmyshatyn/ ...

Market Trends & Dynamics - ZK segment gains traction, reducing AI CT mindshare to below 30% [1] - Total AI crypto market capitalization increased by $4 billion (+9%) this week [1] - TAO leads AI tokens with 129 subnets, offering Bittensor breakout opportunities [1] - Newer subnets show triple-digit returns [1] AI Model & Technology Development - Gemini and OpenAI achieve IMO gold-level problem-solving [1] - xAI is building a kid-focused model, showing potential in AI tutoring [1] - Claude is launching a version tailored for financial services, indicating a trend towards specialized models [1] - Sonic's Spark enables no-code AI apps [2] - Nansen launches its own MCP with Claude integration [2] Project Updates & Integrations - Raiinmaker token launches on Kraken [1] - ConsumerFi integrates with Ethos for AI training data [1] - BNKR integrates Polymarket and possible Coinbase listing [2] Bottlenecks & Challenges - Compute and GPU demand are outpacing supply [1] - Electricity and top talent may become major constraints [1] Token Performance & Metrics - REKT leads with $1.2 million inflow driven by brand equity concept [1] - Cookie has tracked 1,909 agents, $11.92 billion market capitalization = +20% market capitalization & 91 new agents added [1]

Hey All - gave a talk on building stateful environments for vertical agents at AI tinkerers and ppl really liked it, happy to do again. Here's the repo - general code that endows environments like Pokemon Red, Minecraft, Swe-Bench, and others with the same interface for development and agent training. github.com/synth-laboratories/Environments Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/ ...

RT s4mmy (@S4mmyEth)For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model I ...

For those interested in the bullet pointed, no fluff contents of this AI Agent Update article:1) Market Overview:- ZK segment gains traction, pushing AI CT mindshare below 30%.- Total AI crypto market cap up $4B (+9%) this week; several projects post double-digit gains.- TAO leads AI tokens with 129 subnets providing numerous opportunities for a Bittensor breakout.- Newer subnets show triple-digit returns; Infinite Hash cools off following BTC mining narrative.2) Key AI Themes:i) Model Improvements- Gemini ...

RT s4mmy (@S4mmyEth)Will Ethereum become the home for AI Agents? ...

Product Integration - Coinbase/Base Wallet 正在整合 AI Agents 作为新的用户界面 [1] - Jesse.base.eth (@jessepollak) 透露了 Coinbase 的新功能 [1] Upcoming Announcement - 明天下午 3 点（太平洋时间）将发布公告 [1]

Overview - Mastra.ai is a TypeScript framework designed to streamline the development of agentic AI systems, offering an alternative to traditional approaches using LangChain and vector databases [1] - The workshop aims to equip participants with the skills to develop scalable AI-driven internal tools based on sound software engineering principles [1] Technical Aspects - Participants will learn to build structured AI workflows with composable tools and reliable control [1] - The session covers Mastra installation, running a local MCP server, defining tools and agents in TypeScript, and using the Mastra playground [1] - Practical examples include RAG setups and tool-chaining agents [1] Application - The framework enables the creation of internal AI assistants capable of handling requests like data cleaning, email drafting, and document summarization with minimal code [1] Speakers - Nick Nisi is an elite software engineer with expertise in open source web development [1] - Zachary Proser builds AI systems and shares his learnings through sample applications, technical guides, and real-world lessons [1]

Core Insights - Workday's research reveals that 76% of employees lack clarity on contract ownership, leading to lost revenue and missed opportunities [2][4] - The report emphasizes the importance of contract intelligence in transforming contracts from static documents into strategic assets that drive business growth [3][4] Key Findings - A significant portion of employees (50% of legal and 49% of enterprise employees) report financial losses due to unintended auto-renewals, with sales and marketing departments being the most affected (60%) [4] - There is a disconnect between legal teams and other employees regarding contract approvals, with an 18% discrepancy indicating potential risks from bypassing legal processes [4] - Contracts are often fragmented across various systems, with 70% of legal and 50% of non-legal contracts stored in shared drives, which hinders holistic visibility and opportunity identification [4] - Over 41% of respondents believe that slow contract processes stifle innovation and productivity, particularly affecting departments like R&D and engineering (79%) [4]