Zevari Help Center

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Zevari is the GTM operating layer for LinkedIn research, target lists, Library context, campaigns, content, inbox work, workflows, agents, MCP tools, and the public API.

• What Zevari is

  A workspace where people review and operate GTM work while AI assistants use exact tool contracts instead of guessing.

• Use skills

  Focused Zevari capabilities for research, scoring, drafting, classification, content, list building, and campaign preparation.

• Build workflows

  Repeatable paths such as research-to-outreach, signal triage, inbox follow-up, content review, and campaign health checks.

• Add teammates

  Buy add-on sender seats, add teammates, assign seats, and have each teammate connect their own LinkedIn account.

  https://docs.zevari.ai/help/workspaces-and-seats
• Safety Center

  Review warm-up, pacing, account checks, pauses, blocked actions, and recovery state.

  https://docs.zevari.ai/help/safetycenter
• Warm-up

  Learn how newly connected LinkedIn senders ramp gradually before reaching full tier capacity.

  https://docs.zevari.ai/help/warm-up
• Use agents safely

  Agents should read the MCP reference first, verify context, and stop at approval boundaries before risky actions.

Safety Center

The Safety Center is Zevari's control layer for Zevari-controlled AI-assisted LinkedIn activity. Profile views, connection requests, messages, comments, content actions, and campaign execution are evaluated against selected-account state, pacing, recent Zevari activity, review requirements, and safety limits before they run. Zevari logs and tracks these actions so operators can see what happened, what was paused, and what needs review. The public docs intentionally do not disclose exact thresholds or enforcement internals.

• Human-paced execution

  Zevari spaces activity to behave more like a careful human operator than a bursty automation script.

• Account-aware guardrails

  Safety decisions account for connection volume, action history, profile views, write activity, warmup state, and current account status without exposing private limit formulas.

• Safe alongside normal use

  Users can operate LinkedIn manually while Zevari-controlled activity runs in the background, but manual likes, replies, profile views, and connection actions should stay spaced and natural.

Video Walkthroughs

Video walkthroughs are coming soon. Planned topics include what Zevari is, starting a first AI session, skills and workflows, workspace tour, Safety Center, research-to-outreach, API and MCP docs, and support handoffs.

Support

For bugs, support handoffs, and feature requests, use the Prompting Guide to collect workspace context, exact tool or endpoint, IDs, request_id, error.docs_url, error.suggested_action, confirmed facts, and business impact. Send the result to issues@zevari.ai.

• Support handoff prompt
• Report a bug prompt
• Feature request prompt

Docs Links

• Help Center

  Human-facing guide to Zevari skills, workflows, agents, videos, safety, and support.

• Prompting Guide

  Copy-ready prompts that require AI assistants to read the MCP reference before acting.

• Workspaces and Sender Seats

  Human-facing setup guide for workspaces, members, billing, add-on LinkedIn sender seats, and teammate LinkedIn connections.

• Safety Center

  Human-facing guide to Zevari safety guardrails, warm-up, pauses, blocked actions, and recovery state.

• Warm-Up

  Human-facing guide to LinkedIn sender warm-up and gradual activity ramping.

• MCP Reference

  Agent-facing tool schemas, capability contracts, examples, gotchas, and recovery guidance.

• API Reference

  Public REST API reference powered by the Zevari OpenAPI document.

• MCP Reference JSON

  Machine-readable MCP tool reference.

• LLMs Full

  AI-readable Zevari documentation bundle.

• Support

  Send bug reports, support handoffs, and feature requests.