AI Automation
Workflows that ship. Pipelines, scrapers, agents glued to APIs, and the operational discipline that keeps them running past the demo.
Scaling Legal Expertise with Agentic IPO Workflows
Cooley law firm uses an agentic AI system, GO Public, to automate the synthesis of IPO documentation, allowing lawyers to shift focus from manual data processing to high-level strategic judgment.
Monitoring Rogue AI Agents: AI-in-the-Loop vs. Traditional Security
As AI agents scale beyond human oversight, the industry is split between using 'AI-to-monitor-AI' tools and returning to foundational cybersecurity practices like network-level logging.
Building Reliable Multi-Agent Systems with ADK 2.0 Workflows
Stop relying on complex system prompts for agent coordination. Use deterministic workflow primitives—sequential, parallel, and loops—to structure AI behavior and ensure reliability.
Scaling Data Centers Through AI-Driven Demand Response
The AI Energy Management Alliance (AEMA) is leveraging Emerald AI’s software to coordinate data center power usage with grid capacity, potentially unlocking 100 gigawatts of new capacity by shifting compute loads instead of relying on diesel generators.
OpenAI Launches AI-Powered Advertising Platform for ChatGPT
OpenAI is introducing 'Sponsored Agents' and AI-driven campaign management tools, integrating ChatGPT Ads directly into HubSpot and Shopify to streamline ad creation and customer interaction.
Google Home Integrates with Model Context Protocol for AI Control
Google has launched an early access MCP server for Google Home, enabling AI agents like Claude and ChatGPT to securely control smart home devices and query event history via natural language.
Scaling Agreement Data Extraction with Purpose-Built Small Models
Docusign and NVIDIA solved the 'unqueryable agreement' problem by replacing generic LLMs with a 900M-parameter purpose-built vision language model, achieving 20x faster table extraction and significantly lower latency.
Standardizing AI Agent Safety via Third-Party Audits
Artificial Intelligence Underwriting Company (AIUC) is applying a SOC 2-style certification model to AI agents, using a 5,000-test suite to provide enterprises with independent safety audits.
Modernizing Legacy Systems with AI-Assisted Migration
AI accelerates legacy system modernization by automating code discovery, documentation, and translation, allowing teams to preserve critical business logic while reducing technical debt and security risks.
Building Production-Ready AI Agents with Eve
Vercel's Chief of Software, Andrew Qu, explains how moving from complex agent chains to simple, file-system-based architectures doubled their agent performance and led to the creation of the Eve framework.
AI EngineerSecuring Agentic CLIs: Lessons from PostHog's Wizard
To safely ship agentic tools that execute code, separate deterministic enforcement from probabilistic judgment. Treat your own supply chain as a potential attack vector and assume that while individual components may be innocent, their composition can create vulnerabilities.
Building Reliable AI Agents with Durable Execution
To move agents from demos to production, developers must solve for state, retries, and long-running processes. Restate provides a durable execution layer that turns standard functions into resilient, stateful entities capable of surviving restarts and long-duration waits.
Stress-Testing Morality with Adversarial AI Agents
Loophole uses adversarial LLM agents to translate natural language moral beliefs into formal legal code, identifying contradictions through synthetic case law generation and automated patching.
Harness Engineering: Scaling Production AI Agents
To scale AI agents, developers must separate the model from the 'harness'—the infrastructure for memory, tools, and observability—allowing each component to scale independently rather than bundling everything into a single, monolithic container.
Principles for Large-Scale AI Agent Coordination
Effective agent coordination requires isolated workspaces, specialized agent roles, and intelligent handoffs to manage complex tasks across parallel environments.
Democratizing Data Analysis with ChatGPT Work's Data Agent
OpenAI's new Data agent for ChatGPT Work allows non-technical users to query enterprise data, generate interactive dashboards, and trigger actions using natural language, while maintaining strict administrative governance.
Scaling Audio Storytelling with AI: Pocket FM's $500M Strategy
Pocket FM scaled its annualized revenue to $500M by integrating AI into 93% of its catalog, reducing production costs by 80x while maintaining human-led creative direction for long-term IP development.
Building Generative UIs with Python and Prefab
Prefab is a Python DSL that allows developers to compose interactive, serializable UIs for MCP apps, bypassing agent context limitations and enabling efficient generative UI workflows.
Maven Robotics: Scaling Industrial Automation via Task-Specific Focus
Maven Robotics is scaling by prioritizing end-to-end workflow integration over general-purpose research, focusing on high-value industrial tasks like mixed palletizing to achieve 99% uptime.
Instinct's Email Integration: Enabling Autonomous Agent Workflows
Instinct is assigning unique email addresses to its AI agents, allowing them to independently manage account sign-ups, handle business correspondence, and process information without cluttering the user's personal inbox.
Engineering Context for AI Agents
AI agents fail at scale because they lack organizational context. By implementing a relational context engine, teams can reduce token spend by 50%, eliminate correction loops, and ensure AI-generated code aligns with internal business logic.
Scaling AI Agents with Contextual Playbooks at LinkedIn
LinkedIn scaled AI coding agents to over 1,300 tools and 600 playbooks by replacing direct tool exposure with a three-meta-tool search architecture and a self-improving, playbook-driven knowledge loop.
Securing the AI Workforce: The Rise of Non-Human Identity Management
As AI agents gain autonomous access to enterprise systems, they create security gaps that traditional human-centric identity tools cannot manage. Cymphony is addressing this by mapping 'workforce graphs' to govern both human and non-human identities.
How 1Password Boosted Engineering Productivity by 21% with Codex
By integrating AI across the entire software delivery lifecycle—from planning to production—1Password achieved a 21% productivity gain and reduced pull request cycle times by 11% while maintaining strict security standards.
Automating Quantum Chip Calibration with AI Agents
Integrating AI agents with laboratory software allows researchers to automate routine, multi-step quantum chip calibration, shifting human effort from manual monitoring to high-level experimental design.
Accelerating Game Prototyping with AI-Driven IDEs
Playco reduced manual game development fixes by 50% by integrating GPT-6 Astra into their Playbot IDE, enabling autonomous scene editing, testing, and validation within Unity and Godot.
Automating Financial Tie-Outs with Agentic Workflows
Legora utilized GPT-6 Astra to automate financial-statement tie-outs, processing 41 documents in minutes and achieving a 40% performance improvement on their internal benchmarks.
Observing and Scaling Gemini Agents with Grafana Cloud
Scale AI agents from local testing to production by using the Grafana Sigil SDK to capture telemetry, enabling automated performance monitoring, tool-call inspection, and AI-driven remediation workflows.
Google Cloud TechClosing the Gap Between Coding and Knowledge Work Agents
Coding agents succeed because they operate within a mature infrastructure of centralization, history, and verification. To make knowledge work agents autonomous, we must build these same primitives into the business software stack.
Tethering AI Agents to User Identity in Regulated Environments
Two Sigma enables employees to run cloud-based AI agents using their own corporate identity by leveraging existing Kubernetes infrastructure, ensuring security through trace-header attribution and internal web-grounding caches.
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