Agent Configuration

Custom instructions. Infinite context.

Customize your AI's capabilities with unique instructions, custom prompts, and specific knowledge from uploads or connected sources.

Build an agent
Configuring: Engineering Onboarding Agent
You are the Engineering Onboarding Agent. Your primary goal is to help new hires set up their local development environments and understand our microservices architecture.

Always respond in a technical but welcoming tone. If asked about a service, provide the GitHub repository link and the Slack channel for the team that owns it.
Restrict the agent's context window to specific sources.
GitHub: fenlo-hq/core-servicesSynced 2 mins ago
Confluence: Engineering RunbooksSynced 1 hour ago

Total control over behavior. Do not settle for a generic chatbot. Build specialized agents tailored for unique use cases across your organization.

FIG 0.1

Custom prompts

Define the agent's persona and logic. Write precise system prompts to dictate exactly how the agent should format its answers and interact with users.

FIG 0.2

Integrated knowledge

Restrict the AI's context. Map specific Google Drive folders, Jira projects, or GitHub repositories directly to the agent to keep it hyper-focused.

FIG 0.3

Enabled actions

Equip your agent with the ability to execute tasks in external tools. Move beyond Q&A and turn your agent into an active participant.

Contextual boundaries

An agent for the marketing team should not have access to the production codebase, and an engineering agent should not read HR policies. Configurable behavior allows you to isolate knowledge precisely.

Learn about Agent Actions

Questions and answers

Common questions about agent configuration.

Ready to give your team
instant answers?

See how Fenlo connects your tools and turns scattered knowledge into a single, searchable intelligence layer.

Start For Free