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53 articles to explore, from first steps to what comes next.
Autonomous agents can burn through a month of budget overnight. Spending guardrails — per-run caps, per-workflow budgets, rate limits, and kill switches — are production-critical. Here is the pattern that works.
Anthropic launched Claude Managed Agents on April 8, 2026. We deployed three production workflows on the service and measured cost, latency, and isolation. Here is what the new platform actually does.
Google shipped an official MCP server for Colab in April 2026. AI agents can now create notebooks, run code, manage dependencies, and return results — for free. Here is the complete setup guide.
Microsoft shipped an MCP server inside Power Apps in April 2026, plus a human-approval feed. Business users can now build AI agents that connect to 1,100 enterprise systems with no code. Here is the field guide.
Okta for AI Agents goes GA on April 30, 2026. It solves the hardest problem in agentic enterprise deployment: giving agents just enough permission to do their job and nothing more. Here is what it does and how to roll it out.
44% of finance teams now use agentic AI, a 600% increase YoY. Explore 12 real deployments across banking, trading, compliance, and fintech.
87% of CISOs cite AI agent security as top concern but only 11% have safeguards. Memory poisoning, supply chain attacks, and defense strategies.
Four proven multi-agent architecture patterns, MCP vs A2A vs ACP decision tree, cost control, and observability strategies for production AI systems.
Prompt injection attacks surged 340% in 2026. Learn the attack vectors, defense layers, and compliance frameworks to secure your AI agents.
The AI agent market is exploding from $7.8B to $52B by 2030. Learn the three business models, why outcome-based pricing wins, and how to capture value in the 12-month first-mover window.
Deep dive into AI agent memory architecture in 2026. Covers four memory types, vector vs graph databases, MemSync, cross-session persistence, and code patterns.
73% of consumers now use AI agents in their purchase journey and AI influenced $67B during Cyber Week alone. Here's how product discovery, SEO, pricing, and brand strategy must transform when the buyer is a machine.
AI SDR tools now book 3-5x more meetings than human SDRs at 90% lower cost. This guide compares the top 5 platforms, walks through setup, and shows you how to build a pipeline machine.
Building one AI agent is easy. Managing 50 running autonomously is an operations nightmare. This guide covers fleet monitoring, credential management, failure handling, cost control, and human checkpoints for production agent fleets.
Three protocols are competing to become the standard for AI agent communication. Here's how MCP, A2A, and ACP compare, when to use each, and what the Linux Foundation's Agentic AI Foundation means for the ecosystem.
Okara's AI CMO and autonomous marketing agents are replacing traditional marketing leadership. Learn how to build an AI-powered marketing stack that handles strategy, campaigns, content, and analytics without a full marketing team.
Per-seat SaaS pricing is collapsing as AI agents replace human users. This guide covers the pricing model shift, vendor-by-vendor analysis, negotiation tactics, and ROI frameworks for enterprise software buyers navigating the transition.
AI agents are replacing entire categories of SaaS tools. This decision-making guide maps out which subscriptions to keep, which to cancel immediately, and how to save 40-70% on your software stack in 2026.
Telecom companies have reached a 48% AI agent adoption rate, the highest of any industry. This analysis breaks down the use cases, ROI metrics, and cross-sector lessons driving the telecom AI revolution in 2026.
A comprehensive guide to AI agent memory systems in 2026. Learn the four memory types, compare leading memory frameworks like Mem0, Zep, and Letta, and follow a practical implementation guide for adding persistent memory to production agents.
AI browser agents can navigate websites, fill forms, extract data, and complete multi-step workflows autonomously. Learn how to use them for research, lead generation, competitor monitoring, and more -- no coding required.
AI agents can now see your screen, move your mouse, click buttons, and complete multi-step workflows across any application. This guide covers how desktop agents work, what they can reliably do, where they fail, and how to use them safely.
Churn prediction is the highest-ROI AI use case for SaaS companies. Learn how to build AI-powered customer success workflows that track health scores, automate check-ins, and re-engage at-risk accounts before they cancel.
Digital agencies are hitting a ceiling: more clients mean more hires, more overhead, and thinner margins. In 2026, AI agents and creative automation let lean teams deliver at enterprise scale. Here is the practical playbook for building a high-margin agency with AI.