Live Webinar
Agent Skills, MCP, and Workflows: Tools for Enabling Agents
Agents are getting more sophisticated, meaning that we give them broader and more diverse tasks. As AI agents take on broader, more complex responsibilities, a natural tension is emerging: agents wanting to do more, but users and businesses needing capabilities delivered predictably, safely, and on their terms.
The question is no longer whether your agent can do it — it's how to make sure it does it correctly every single time.
There's no single answer, and three complementary approaches have emerged, each with their own strengths and trade-offs.
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Agent Skills
Structured, reusable instructions that give the agent exactly the context it needs for a subtask, no more, no less, while constraining how it operates.
Model Context Protocol (MCP)
A standardised interface for exposing discrete tools to agents, outsourcing well-defined capabilities out of the prompt into callable tools, either locally or remotely.
Workflow Languages (e.g., OAI Arazzo)
Declarative, deterministic descriptions of multi-step processes that give you predictability and auditability at scale. The Arazzo Specification from the OpenAPI Initiative is a prime example.
What you’ll learn
Building Production-Grade Agents
Each approach sits at a different point on the spectrum between flexibility and control. The right choice depends on the task, the stakes, and how much you can afford to leave to model discretion.
Prompts alone don't cut it. Better models aren't the answer. The agents that deliver in production combine explicit skills, safe tool access, and deterministic workflows — cutting token waste, improving consistency, and making governance tractable as AI scales across the enterprise. The decisions you make now will define whether your AI adoption scales and succeeds or stalls.
In this session, we'll break down when to use each approach, how they complement each other, and what a well-tooled agent looks like in practice.
Learn from the best
Meet the Speakers
Erik Wilde
Head of Enterprise Strategy
OpenAPI Initiative Ambassador
A defining figure in the global API community, Erik shapes Jentic's standards strategy while helping organize OpenAPI community events and driving adoption across the enterprise landscape.
Frank Kilcommins
Head of Enterprise Architecture
Co-author & Editor, Arazzo Specification
Frank literally wrote the spec. As the principal author of Arazzo, he brings unmatched depth to Jentic's workflow engine and ensures our implementation stays true to the standard's intent.
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