Colorful stacked shipping containers representing isolated sandbox environments for running coding agents via the Sandbox Agent SDK

Sandbox Agent SDK: One HTTP API to Control Claude Code, Codex, and Every Other Coding Agent

Rivet’s open-source Sandbox Agent SDK normalizes the APIs of Claude Code, Codex, OpenCode, Amp, and Cursor behind a single HTTP/SSE interface. A 15MB Rust binary runs inside any sandbox provider (E2B, Daytona, Docker, Vercel) and exposes standardized session management, event streaming, and permission handling. This post covers the architecture, supported agents, real-world deployment patterns, and how it compares to building direct integrations.

March 22, 2026 · 8 min · Paperclipped
Professional working on a laptop with digital skills assessment interface, representing skills-based hiring and AI literacy criteria

Skills-Based Hiring and AI Literacy: The Two Recruiting Criteria That Define 2026

In February 2026, the US Department of Labor released its AI Literacy Framework. The same month, Stepstone reported 77% of German companies would prioritize skills-based recruiting. Two continents, two announcements, one conclusion: hiring criteria that worked in 2024 are obsolete. This post covers why skills-based assessment and AI literacy screening converged simultaneously, how the EU AI Act turned AI literacy from a preference into a legal obligation, and what practical assessment methods work for both criteria.

March 22, 2026 · 9 min · Paperclipped
Interconnected network nodes representing cross-company AI agent networks forming the agent web

The Agent Web: Why Cross-Company Agent Networks Are the Next Internet

Your agents work inside your company. But your business does not. The agent web, a network where AI agents from different organizations discover, authenticate, and collaborate with each other, is being built right now with Google’s A2A protocol, Anthropic’s MCP, and a discovery mechanism borrowed straight from the early web. Here is what it looks like, who is building it, and why it matters more than any single agent you deploy.

March 22, 2026 · 9 min · Paperclipped
Vintage telephone representing traditional IVR systems being replaced by voice AI agents in customer service

Voice AI Agents in Customer Service: Why IVR Is Finally Dying

Traditional IVR systems automate only 7-15% of customer interactions. Voice AI agents connected to live data hit 3-5x those rates while cutting per-call costs from $6-12 to under $0.50. A Metrigy study of 656 companies found 37.6% plan full IVR replacement, rising to 62.5% among top performers. Here is what the transition actually looks like, what it costs, and which platforms deliver.

March 22, 2026 · 10 min · Paperclipped
Yellow and black warning stripes representing AI agent pilot failure rate and organizational barriers to production

Why 95% of AI Agent Pilots Fail: The MIT Data, the Postmortems, and What Survivors Do

MIT’s NANDA report found that 95% of AI pilots fail not because of bad models but because of a learning gap: organizations do not understand how to design workflows, empower the right people, or build feedback loops. This post digs into the MIT diagnosis, real-world agent catastrophes from Vectara’s awesome-agent-failures repo, the context engineering problem Inkeep identified, and the community response through standards like FAILURE.md.

March 22, 2026 · 9 min · Paperclipped
Combination lock on keyboard representing the broken web security model that AI agents bypass

The Web Security Model Is Broken for AI Agents

The web’s security architecture took 30 years to build. Same-origin policy, Content Security Policy, CORS, sandboxed iframes. All of it assumes one thing: a browser sits between the user and untrusted content, mediating every interaction. AI agents bypass that assumption entirely. They fetch web content, treat it as instructions, and execute actions with the user’s full permissions. This is the confused deputy problem at a scale the web was never designed to handle.

March 22, 2026 · 11 min · Paperclipped
Corporate glass towers reflecting enterprise scale of Deloitte Tech Trends 2026 agentic AI strategy from pilot to production

Deloitte Tech Trends 2026: Why 89% of Agentic AI Never Reaches Production

Deloitte’s 17th annual Tech Trends report maps the enterprise agentic AI adoption funnel: 30% exploring, 38% piloting, 14% deployment-ready, 11% in production. The report’s CTO Bill Briggs warns that applying AI to broken processes ‘weaponizes inefficiency.’ This post breaks down the five strategic questions every enterprise needs to answer, why governance enables speed rather than blocking it, and what HPE, Toyota, and Dell did differently.

March 22, 2026 · 9 min · Paperclipped
Enterprise software dashboard representing Gartner prediction of 40 percent AI agents in enterprise apps by 2026

Gartner Says 40% of Enterprise Apps Will Have AI Agents by Year-End. Here Is What That Actually Means

Gartner predicts an 8x jump in AI agent embedding across enterprise applications in a single year. But with 40% of agentic AI projects also headed for cancellation, the real question is which platforms are delivering and which are agent-washing.

March 22, 2026 · 8 min · Paperclipped
Laptop showing search analytics and data representing GEO and AEO generative engine optimization strategies

GEO and AEO: How AI Search Replaces Ten Blue Links

Traditional search still drives 48.5% of website traffic, but the shift is accelerating. ChatGPT has 800 million weekly users, Google AI Overviews appear in 60% of U.S. searches, and AI visitors convert at 4.4x the rate of organic traffic. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are two distinct approaches to earning visibility inside AI-generated responses. This post breaks down how they work, how they differ from SEO, and what you can do right now to show up when someone asks ChatGPT about your industry.

March 22, 2026 · 9 min · Paperclipped
IT professional monitoring server infrastructure representing the human accountability layer in Know Your Agent KYA verification

Know Your Agent (KYA): The Identity Layer AI Agents Need Before Going Live

Coordinated AI fraud attacks rose 180% in 2025. Know Your Agent (KYA) is the emerging framework that binds every AI agent action to a verified human identity, closing the accountability gap that KYC and traditional IAM leave wide open. This post covers the Sumsub implementation, the four KYA components, and how the framework maps to EU AI Act compliance.

March 22, 2026 · 9 min · Paperclipped

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