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Live LinkedIn Data: Agents can access up-to-the-minute profiles and posts, ensuring that any content generated or actions taken are based on current information. Data is fetched on demand and expires based on a user-defined retention window.
Agent Actions: Facilitates a range of LinkedIn activities including commenting on posts, sending connection requests with personalized notes, direct messaging and InMail, replying to conversations, publishing posts in the user's voice, scheduling content, and managing the inbox.
Human Approval Workflow: Every action initiated by the agent is presented as a draft for review and approval. This ensures that no action is taken on LinkedIn without explicit user consent.
Clear Logging: An append-only log records every attempted action, including details like the action taken, timestamp, success status, and the exact content sent. This log is accessible within the web app and exposed to the agent for easy auditing.
Automated Repetitive Tasks: Handles monotonous engagement tasks such as finding relevant people and posts, and drafting original content, allowing users to focus on review and strategic decisions.
Easy Setup: Designed for quick setup in approximately five minutes, requiring no installation or browser extensions. Integration involves connecting a LinkedIn account via Unipile and adding Iridium as a custom connector in AI models like Claude.
Flexible Access: Can be used directly within AI conversations via an MCP endpoint or through the Iridium web application, providing users with the flexibility to manage their LinkedIn activities.
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