Your outbound agent,using Amdahl's API.
Set up in 3 minutes: install the MCP, let your agent run. Connecting your data is optional.
An example outbound agent run on Amdahl, drawn as one path. Clay, Apollo, or LinkedIn hands your agent a lead. The agent asks Amdahl what matters to this buyer and gets six cited quotes from your own buyer data. It writes draft one with your model and your prompt, and Amdahl checks it: 2.6 of 5, missing the buyer's objection. The fix comes back, draft two scores 3.4 of 5, and draft three scores 4.2 of 5, a pass, so it ships through your sender, such as Salesloft, Gmail, or Outlook. The prompt fix is kept, so the next run starts from what worked.
More context alone does not fix a draft. A standard does. Every run is checked against your buyers, and the next one starts from the prompt that passed.
Get started.
Getting started: optionally connect sources such as Gong, HubSpot, and Salesforce; install the API or the MCP server at https://app.amdahl.ai/mcp; then let your agent run. Each draft comes back graded, with the fix, so your agents improve every run.
01
OptionalConnect your data
One-click connect to Gong, HubSpot, Salesforce.
30+ integrations
02
Install the API or MCP
Your team uses the MCP. Your agent calls the API.
claude mcp add --transport http amdahl https://app.amdahl.ai/mcp03
Let your agent run with it
Each draft comes back graded, with the fix.
Agents that improve every run
Explore other use cases for Amdahl with your agent.
What can I use Amdahl for?Tell me some use cases for amdahl.ai, based on what you know about my work. You can use https://amdahl.ai and https://docs.amdahl.ai for reference.