The latest news, updates, and stories from Retool.
How technical leaders are managing rising AI costs in 2026 [Survey]
Retool surveyed 101 technical leaders on AI spending in 2026. See why 43% are over budget, how they're responding, and what's driving costs up.
Who’s watching the agents? A framework for multi-agent governance
As teams ship fleets of agents, multi-agent governance is critical for staying accountable to their outputs. Learn three common failure points in agent governance, and the controls to fix them.
3 questions that tell you whether you’re actually governing AI
Who's acting, what can they reach, can you stay in control? Use this three-question framework to better govern AI agents where the work actually happens.
Why we built an AI model registry
How Retool built an AI model registry—a single JSON document served from a hosted URL—to decouple model availability and provider pricing from binary release cycles.
When anyone can build, the new constraint is building safely
AI collapsed the cost of coding, but the infrastructure that makes it safe hasn't kept up. See why platform governance is now the critical constraint.
The State of AI Governance in 2026
307 CTOs, CIOs, and CISOs weigh in on vibe coding, shadow AI, and the gaps in internal tool governance. See what's breaking and what needs to change.
What “prompt to production” actually means for enterprise IT
Retool delivers on "prompt to production" with governance built in. Here's how access policies and deployment standards are enforced at every step.
Ship vibe-coded apps to production
Meet the new Retool: a full-stack AI app builder on React and TypeScript, with MCP support and built-in enterprise governance.
Retool deepens Databricks partnership: Lakebase and Agent Bricks
Retool is a launch partner for Databricks Lakebase and Agent Bricks. Together, they bridge the gap between AI insight and enterprise action. See what's new at the Data + AI Summit 2026.
What happens after AI builds your prototype?
AI-generated apps skip security fundamentals. Learn why resource-level governance is the only model that scales for enterprise teams.
Most AI automation efforts stall. Governance clears the bottlenecks.
Most AI automation stalls before it scales. See why governance is the real bottleneck and learn what automated organizations are doing differently.
What changed when agents started writing my code
Does AI really make software development faster? A senior software engineer leading large-scale workstreams on what changed and what stayed hard.
How Pierre-Yves Calloc’h kept AI governed at Pernod Ricard
How Pernod Ricard deployed an AI sales tool to 28 countries with 85% adoption—by treating IT governance as a design constraint from day one.
Picking the right AI app builder in 2026
A guide for engineering and operations teams evaluating AI app builders for internal tools—and why most comparisons start from the wrong tier.
Introducing Retool’s MCP Server
Retool’s MCP server lets you manage apps, workflows, and users directly from Claude, Cursor, Codex, or Kiro—without leaving your AI coding environment.
