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AI Agents

AI Agents let you save a reusable workflow and run it repeatedly with new runtime instructions. They are useful when the same research or extraction logic needs to be executed many times across different entities, customers, or internal teams.

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What AI Agents are for

Use AI Agents when you want to:
  • standardize recurring workflows
  • save a preferred configuration once and reuse it
  • run the same playbook across many companies or people
  • expose consistent internal tools to other teams
  • reduce prompt and configuration drift
Common examples:
  • a company risk review agent
  • a lead qualification agent
  • a website extraction agent
  • a verification workflow for operations teams
  • a reusable enrichment playbook for customer-facing products

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How AI Agents work

An agent usually combines:
  • saved settings
  • a predefined workflow structure
  • optional task-specific instructions at runtime
At run time, your application sends:
  • the agentId
  • runtime instructions
  • settings that should apply to that run
NeuralVerge returns a session id so you can monitor progress asynchronously.

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Why teams use AI Agents

AI Agents help teams move from ad hoc execution to repeatable operations. Benefits include:
  • more consistent outputs
  • easier reuse across teams and products
  • less duplicated integration logic
  • faster rollout of common workflows

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When to choose AI Agents

Choose AI Agents when:
  • the workflow is repeated often
  • you want one reusable configuration instead of rebuilding each request
  • multiple teams need the same operational logic
If you only need a one-off task, AI Research or AI Extract may be enough. In the API Reference, AI Agents includes the endpoint for running a saved agent.