AI Automation
Workflows that ship. Pipelines, scrapers, agents glued to APIs, and the operational discipline that keeps them running past the demo.
New Usage Analytics and Spend Controls for ChatGPT Enterprise
OpenAI has introduced granular credit usage analytics and flexible spend controls for ChatGPT Enterprise, allowing administrators to track consumption by user, product, and model while setting tiered budget limits.
Architecting AI Agents for Production Workflows
Successful AI agents in production function as coordination layers that orchestrate multi-system workflows, enforce strict policy governance, and maintain human-in-the-loop control rather than acting as standalone decision makers.
IBM TechnologyBuilding Custom Vision Agents with Gemini, MCP, and Veo 3
Learn how to build a cloud-native vision agent that orchestrates real-time camera input, image style transfer via Nano Banana, and cinematic video generation using Veo 3, all controlled via natural language.
Building an Automated Competitor Intelligence Pipeline
Manual competitor monitoring is a slow, inefficient drain on resources. By building an automated Python-based pipeline, you can track market changes, pricing, and feature updates in real-time to maintain a competitive edge.
Automating Lead Generation with Python and AI
Replace manual prospecting by building an automated pipeline that scrapes business data, uses LLMs to research potential clients, and prepares personalized outreach, saving hours of repetitive work.
Building Long-Running, Event-Driven AI Agents with ADK
The Agent Development Kit (ADK) enables stateless, event-driven AI agents that maintain state across weeks of dormancy without token bloat, using a state-machine approach rather than traditional chat-based memory.
Google Cloud TechBuilding Resilient SharePoint Delta Ingestion Pipelines
Avoid full-library scans by using the Microsoft Graph Delta API and SQL-based checkpointing, ensuring only changed files are processed and system state remains consistent during failures.
Building Layout-Aware Parsing Pipelines with Docling Parse
Docling Parse enables fine-grained PDF extraction by providing character, word, and line-level coordinates, allowing developers to reconstruct document structure for advanced RAG and AI applications.
Standardizing AI Context with the Open Knowledge Format (OKF)
Google Cloud's Open Knowledge Format (OKF) provides a vendor-neutral, markdown-based specification for organizing internal knowledge, enabling AI agents to consume curated, portable context without proprietary APIs.
Atoms: Moving Beyond Code Generation to Full-Lifecycle AI Agents
Atoms shifts the 'vibe coding' paradigm from simple code generation to a multi-agent system that handles the entire product lifecycle, including research, development, deployment, and marketing.
Hermes Agent Enables Non-Blocking Asynchronous Subagents
Nous Research updated the Hermes Agent to support asynchronous subagent delegation, allowing parent agents to continue working while child agents execute tasks in the background.
Securing Multi-Agent Systems with Cryptographic Identity
To prevent 'confused deputy' vulnerabilities in multi-agent systems, move away from static path-based security and implement identity-based delegation chains using SPIFFE, OAuth2, and cryptographic headers.
Consolidating Productivity Tools into a Single Python AI Agent
Instead of managing 15 separate productivity subscriptions, build a unified Python-based AI agent that uses local LLMs, vector databases, and automation to handle tasks, notes, and research autonomously.
Building Apple-Style Websites with Claude Code and AI Video
A practical workflow for creating high-end, interactive landing pages by combining AI-generated imagery, video frame extraction, and local development via Claude Code.
Managing AI Agents as First-Class Enterprise Identities
NewCore has raised $66M to provide a dedicated identity and access management platform for AI agents, treating them as autonomous employees rather than simple service accounts.
Building an Agentic Incident Resolution System
By combining observability telemetry with organizational context, you can build an incident response system that auto-resolves known issues and provides full context for human-led escalations, significantly reducing triage time.
Building a QwenPaw Agent Workspace in Google Colab
A practical guide to deploying QwenPaw in Google Colab, featuring automated model provider configuration, custom skill development, and streaming API integration for agentic workflows.
Omnigent: A Meta-Harness for Composing and Governing AI Agents
Omnigent is an open-source meta-harness that standardizes the interface for diverse AI agents, enabling developers to compose, govern, and share agent sessions across terminal, web, and mobile environments.
Scaling AI Transformation in Global Banking: The BBVA Case Study
BBVA transformed its global operations by integrating ChatGPT Enterprise across 100,000 employees, focusing on governance, leadership participation, and employee-led development of 20,000+ custom GPTs.
Scaling Personalized Learning with AI-Human Collaboration
Preply integrated OpenAI's API to automate administrative tasks for tutors and provide personalized, compounding learning insights to students, resulting in a 70% product-market fit score and high long-term retention.
xAI Launches Grok Build Plugin Marketplace for Terminal Agents
xAI has introduced a plugin marketplace for its Grok Build terminal agent, allowing developers to bundle skills, commands, and MCP/LSP configurations into installable packages with SHA-pinning for security.
Moonshot AI Launches Kimi Work: A Local Desktop Agent
Kimi Work is a local desktop AI agent that automates tasks by accessing local files and your browser, powered by the Kimi K2.6 model and a 300-sub-agent swarm.
Building AI Agents with Looker and MCP
Learn how to ground AI agents in enterprise data by connecting them to Looker using the Agent Development Kit (ADK) and the Model Context Protocol (MCP).
Google Cloud TechBuilding Internal AI Data Workspaces with Studio
WorkOS built 'Studio,' an internal tool that allows non-technical staff to query business data and generate deterministic, reusable JavaScript widgets, bypassing the traditional bottleneck of filing engineering tickets for SQL queries.
Simplifying Hermes Agent Configuration with a Web-Based Profile Builder
Nous Research has introduced a web-based Profile Builder for the Hermes Agent, allowing users to configure agent identity, models, skills, and MCP servers through a guided GUI instead of manual CLI commands.
AI and the End of Traditional Outsourcing Economics
Opendoor’s exit from India highlights a shift where AI-driven automation reduces the need for large, labor-intensive offshore teams, signaling a move toward 'Services-as-Software' models.
Building Custom Tools with Vibe Coding in Google AI Studio
Vibe coding allows non-developers to build functional applications by using natural language to iterate, troubleshoot, and refine code directly within Google AI Studio.
Google Cloud TechBuilding Self-Driving Products: From Signals to PRs
PostHog is building an automated pipeline that ingests product observability data, groups related signals, and uses AI agents to research and submit pull requests, allowing developers to wake up to green PRs instead of dashboards.
Scaling Engineering Through AI-Driven Autonomy at Notion
Notion uses Codex to accelerate development by shifting from manual coding to spec-driven agent execution, reducing feature delivery times from weeks to hours.
Scaling Enterprise AI: Lessons from LSEG's Transformation
LSEG reduced product release cycles from 6 months to 2 weeks by integrating OpenAI models with their financial data, prioritizing a strategy of broad enablement balanced with strict governance.
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