ToolsThe story, in brief

Kantata debuts Agent Studio for building custom AI agents in plain language

Professional services firms can now build custom agents without code. Kantata's Agent Studio lets you describe the job in plain language.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Agent-building tools are moving from code-first to natural-language interfaces, lowering the barrier for services firms to deploy custom automation. This is app-layer tooling built on top of AI capabilities, not a capability breakthrough itself.

The key facts

9 to know
  1. Kantata released Agent Studio

  2. Tool enables building custom AI agents via plain-language descriptions

  3. Targets professional services automation market

  4. Addresses vendor fragmentation: narrow agents shipped by multiple vendors

  5. Kantata Agent Studio announced

  6. Platform: custom AI agents via plain-language description

  7. Target market: professional services automation firms

  8. Problem framed: vendors shipping narrow agents; need for customization tooling

  9. No pricing, availability, or capability benchmark data provided in excerpt

Go to the source

SiliconAnglesiliconangle.com

Publisher excerpt: Professional services automation software company Kantata Inc. today unveiled Agent Studio, a tool that lets services firms build custom artificial intelligence agents by describing the job they want done in plain language. The release goes after a problem Kantata says is building in the…
Read original report
Back to today's editionMore tools news

The wider picture

View all
Paper-cut illustration of a coral software window opening into a three-dimensional drafting space.
AI illustration by KeyNews
Tools01

The Genie One MCP is now Generally Available

Genie One MCP is a production-ready tool layer for integrating coding agents into enterprise workflows. Practitioners building agentic systems now have a standardized, vendor-backed protocol for connecting agents to IDEs and development environments — lowering friction from pilot to deployment.

Databricks
Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI illustration by KeyNews
Tools02

Rabbit Is Back, This Time With an AI Agent App

A failed AI hardware play pivots to cross-platform agent software — a test case for whether agent UX can drive mainstream adoption outside dedicated devices.

Wired AI
Illustration of a transparent lens revealing connected networks across layers of paper.
AI illustration by KeyNews
Tools03

llm-typesafe 0.1a0

A new Python library for enforcing type-safe outputs from LLMs—useful for practitioners building production applications where unpredictable output shapes break downstream code. Early alpha, but addresses a real friction point in AI app development.

Simon Willison