AI agents don’t “work around” unclear APIs the way humans do, they either fail or confidently get it wrong. True AI readiness goes beyond valid OpenAPI specs.
Erik Wilde
Estimated read time: 2 min
At AWS re:Invent, James Maguire from TechVoices sat down with Jentic CTO and Co-Founder, Michael Cordner.
Jentic today launched its AI Readiness Scorecard, the first automated assessment tool to pinpoint where and why enterprise AI pilots fail.
A framework for scoring APIs on AI readiness across clarity, intent, security, and usability.
Should workflows have their own APIs? Frank Kilcommins explains how exposing workflows as APIs can make automation more discoverable, governed, and reusable.
Jentic joins the OpenAPI Initiative to help enterprises make APIs agent-ready through clear contracts, reliable workflows, and open standards.
A simulated environment mirrors internal APIs and data systems, letting teams test agents safely to identify high-value opportunities and workflows.
Standard Agent is a sub-1,000 line Python library for building transparent, hackable AI agents. Simple enough to read in an evening, powerful enough to use.
Jentic is selected as the first Irish company to join Amazon Web Services’ Generative AI Accelerator (GAIA), and 1 of 40 startups selected worldwide in 2025.
The latest company news and press. For all inquiries, please email Matt at press@jentic.com.
Today, we’re delighted to announce that Frank Kilcommins has joined Jentic as our Head of Enterprise Architecture.
Vladimír Gorej shared insights on Arazzo workflows during our AMA, covering agent reliability, migration strategies, and live demos of the Arazzo Engine.
Join Apify and Jentic for an informal meetup after the MCP Dev Summit in London to keep the conversation going with peers and contributors
Do agents really need evals? Lessons from our live talk with ZenML’s CTO on practical evaluation, common mistakes, and production best practices.
CTO Michael Cordner shares lessons from building Jentic’s agent infrastructure why simplicity, reliability, and standards matter for production AI agents.
OAK is evolving from one repo into a global movement: an open, distributed knowledge layer powering reliable AI agents.
Jentic joins Hacktoberfest 2025 with Standard Agent and Arazzo Engine, inviting developers to contribute to AI agents and API workflow orchestration.
From the death of SaaS to the rise of agentic tooling, Sean’s AMA revealed how AI agents are reshaping software, business models, and developer strategy.
Today, we’re delighted to announce that Erik Wilde has joined Jentic as our Head of Enterprise Strategy.
Today, we’re open-sourcing Standard Agent, the tiny Python library that underpins all our internal agents.
Jentic now lets you run AI agents securely with managed execution and a centralized credential vault. No more hardcoded secrets. No more scattered access.
Agents that are capable, reliable, fast, open and secure
There is a better alternative to agent-to-agent architecture that allows your agent to reliably get its work done, across multiple API vendors.
Increasing agent capabilities by stuffing tool information into the context window isn't scaling
Introducing the Open Agentic Knowledge repository: an open-source initiative creating standardized API documentation for AI agents.
All agents really need to use an API is good documentation.
Jentic is a Just-In-Time-Tooling engine for agents, providing seamless access to thousands of API tools and workflows through a single integration
Agents shouldn’t carry tools—they should retrieve them
Outlining the upcoming tools and development roadmap for the Open Agentic Knowledge repo, focusing on API discovery, integration, and execution for AI agents.
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