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The agent space is where you configure the AI agents that interact with your data, your team, and your tools. Wayak agents are more than chatbots — they understand your ontology, connect to your apps, and execute skills you define.
Wayak custom agents interface

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What’s in the agent space

Custom agents

Define AI personas with specific roles, goals, and behavioral guidelines. Each agent is scoped to the data and tools it needs.

Skills

Write procedural instructions that teach agents how to perform specific tasks — step by step, in plain language.

App integrations

Connect agents to the tools your team already uses — Slack, email, CRMs, and more.

Examples

Browse concrete agent and skill examples for manufacturing, customer service, insurance, and more.

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How agents use the platform

Every agent in Wayak draws on four layers to do its work:

Data sources

Query databases, APIs, and uploaded files. The agent has direct access to your structured data and can run queries against it.

Knowledge bases

Search and read unstructured documents — PDFs, reports, presentations, internal docs. The agent finds relevant passages and cites them.

Ontology

Understand your business metrics, terminology, and relationships. The ontology tells the agent what “revenue” means and how to compute it.

Skills

Execute defined actions and workflows. Skills give agents the procedural knowledge to do things — not just answer questions.
The combination of data access, business understanding, and actionable skills is what makes Wayak agents agentic — they don’t just answer questions, they get things done.

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Agents vs. skills at a glance

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Custom agents Who

A persona definition — name, role, goal, tone, and behavioral guidelines. Determines how the agent acts and what data it can see.

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Skills What

Procedural instructions in markdown — trigger, steps, and output. Determines what tasks an agent can perform. Reusable across agents.

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