Custom AI agents

Create a specialist around the job—not another generic assistant.

Define the role, instructions, model, capabilities, business knowledge, and memory an agent needs, then reuse it across projects and teams.

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No code · review gates · work organized by business

druidx — ai-agents

druidx run ai-agents. loading business context. role-and-instructions, define the outcome the agent owns, how it should reason about the work, and where its responsibility ends. model-selection, choose an available model that fits the agent's task and plan access. skills-and-tools, give the agent only the capabilities required for its job. mcp-connectors, attach supported external capabilities when the role needs to work beyond the druidx workspace. knowledge-grounding, use approved workspace material to keep the agent closer to business facts and source content. 5 steps complete · output saved to Library.

review gates on, outputs keptSee plans →

Make agent behavior easier to understand, constrain, and improve.

A single system prompt cannot substitute for a clear operating role. DruidX separates the agent's responsibilities from the tools, connectors, knowledge, and memory it can use so teams can design specialists deliberately.

Everything the run needs, built in.

6 capabilities

Role and instructions

Define the outcome the agent owns, how it should reason about the work, and where its responsibility ends.

Model selection

Choose an available model that fits the agent's task and plan access.

Skills and tools

Give the agent only the capabilities required for its job.

MCP connectors

Attach supported external capabilities when the role needs to work beyond the DruidX workspace.

Knowledge grounding

Use approved workspace material to keep the agent closer to business facts and source content.

Memory

Retain useful context for longer-running or repeat work instead of resetting every conversation.

From business context to finished work.

The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.

1

Set the working context

Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.

2

Configure the capability

Select the appropriate agents, models, tools, connectors, and boundaries for the work.

3

Run, review, and retain

Inspect progress and outputs, answer questions or approvals, and keep the useful result in the workspace.

What you walk away with.

Useful outputs your team can open, share, and build on — not another stream of chat.

  • A reusable specialist with a clear role.
  • Controlled access to tools and connectors.
  • Business-grounded work through workspace knowledge.
  • A better boundary between durable instructions and retained memory.
  • An agent that can contribute to larger team projects.

Where teams point it first.

Focused project work

Apply the capability to a concrete business outcome with visible context and a defined deliverable.

Reusable team workflow

Configure the approach once, then bring it into future projects without rebuilding every instruction.

Governed automation

Use the capability inside a larger workflow with explicit logic, timing, and human review where required.

Keep exploring the workspace.

Your next move

Give your next business goal a place to get done.

Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.

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