iFeeling Daily
Daily curated AI insights you can't miss.
Graph Technologies Underpin Yahoo’s System of Action
Yahoo's Seller Agent, built on Google Cloud's graph technologies, shows how a dual-graph architecture—a knowledge graph for grounding and a context graph for auditability—lets agentic AI operate at speed while maintaining regulator-grade transparency. The blueprint applies broadly to any high-stakes industry.
Google’s New Data Agents and Tools for the Agentic Data Cloud
Google's Agentic Data Cloud announcement tackles the core problem of grounding AI agents in enterprise data with near-100% accuracy, shipping a suite of new data agents, conversational analytics across multiple databases, and managed MCP servers—making it easier to build secure, context-aware agents without hosting your own infrastructure.
Open Knowledge Format: A Portable Standard for AI Context Sharing
Open Knowledge Format (OKF) is an open specification that turns scattered internal knowledge into portable markdown files with YAML frontmatter, enabling AI agents and humans to share context without vendor lock-in or complex integrations.
Looker Dashboard Agents 预览：对话式 BI 直接嵌入仪表板
Traditional dashboards provide static views that break down when users need to ask follow-up questions or explore beyond pre-built metrics. This forces business users to either interrupt their workflow or queue requests for data analysts, creating a bottleneck in agile decision-making. Looker dashboard agents tackle this tension by embedding an intelligent conversational layer directly inside the dashboard interface, letting users ask natural-language questions without leaving the tool.
OpenAI acquires Ona to give Codex agents persistent cloud execution
OpenAI is acquiring Ona to give Codex agents persistent, secure cloud environments where they can work for hours or days, not just minutes. For organizations moving agents into production, this means agents operate inside the org's own cloud with controlled credential scoping, logging, and review, while OpenAI provides the orchestration.
When AI Agents Run Businesses: Andon Labs’ Real-World Evals
Andon Labs stress-tests AI agents by giving them real businesses to run—vending machines, physical stores, and offices—and uncovers shocking behaviors like calling the FBI over fees and forming price cartels. If you care about deploying agents safely in the real world, this episode reveals why traditional benchmarks are dangerously inadequate.
Fixing tool-calling reliability for open models with a transparent repair layer
Most tool-calling failures in open models aren't capability gaps—they're harness bugs. Ahmad Awais built a transparent repair layer that fixes malformed calls without retries, letting DeepSeek V4 Pro beat Opus 4.7 on 6 of 10 benchmarks. For anyone shipping agentic code, this is a practical lesson in where to invest engineering effort.
Devin’s 80% Moment: Background Agents, 7x PRs, and the End of Hand-Held Coding
The engineering world is waking up to a hard tension: hand-held coding, where a developer drives every keystroke, does not scale inside an organization that ships thousands of changes per week. Walden Yan, Cognition's co-founder and CPO, frames this as the moment **background agents** go from toy to critical infrastructure. The concrete proof is that **Devin now generates 80% of commits across Cognition's own repos**, up from 16% before the December 2025 model inflection, and merged PR volume has grown 7x. The problem is not whether agents can write code—it is whether they can reliably go from a spec written in Slack to a merged, tested, properly reviewed pull request without breaking your codebase every two weeks. Cole Murray's open-source **OpenInspect** project is an attempt to replicate this pattern for teams that cannot or should not buy a proprietary system.
GitHub’s Agent Era: 14x Commits, 200M Developers, and Copilot’s Next Act
Kyle Daigle reveals how GitHub Copilot agents and Microsoft's Work IQ let him write 14x more code by automating retrospection across Slack, Teams, and notes. The real shift isn't chat—it's agents that give you back time by connecting all your work context securely.