Quickchat AI

conversation-triage

Find and prioritize the customer conversations a teammate should follow up on: ones that are still unresolved and ones the AI escalated for the team to review. Read a sample, summarize what happened, note any that got a negative rating, and suggest a next step for each. Use when the user asks what needs a reply, which chats to review, what to follow up on, or to sort the support inbox. Do NOT use for aggregate stats (use performance-review) or to change the Agent (use improve-agent).

deploy-agent

Put a configured Quickchat AI Agent in front of real users: report which channels are live, then connect the ones the user wants. The website widget, public chat page, the Agent's own MCP endpoint, Discord, Telegram, Instagram, Slack and Email all connect through the tools here, without sending the user to the dashboard. Use when the user asks to deploy, publish, go live, share the Agent, embed it on a site, or connect or integrate it with Telegram, Discord, Instagram, Slack, email, WhatsApp or any other channel. Not for building or configuring the Agent itself (use launch-agent or improve-agent).

improve-agent

Audit a Quickchat AI Agent and improve it: read its current settings and knowledge base, mine recent conversations for gaps (unanswered questions, wrong answers, off-brand tone, missing knowledge), then propose specific configuration edits and knowledge-base additions. Apply changes only after the user approves each one. Use when the user asks to improve, tune, optimize, fix, or update an Agent, add knowledge, or change its persona, greeting, language, or profile picture.

launch-agent

Configure a Quickchat AI Agent from scratch, end to end: set up the empty Agent the account already has (or provision one when every Agent is already configured), build it from a website URL or from a short interview when there is no site, then show the generated configuration and how to test it. Use when the user asks to create, build, launch, set up, or spin up a new Agent, to make an Agent from a website or URL, or when they have just connected Quickchat and have nothing set up yet. Not for editing an established Agent (use improve-agent).

performance-review

Produce a performance review of a Quickchat AI Agent: pull conversation volume, resolution rate, CSAT, handoff response time, and topic trends over a period and turn them into a prioritized set of recommendations. Use when the user asks how an Agent is doing, for a weekly or monthly review, a health check, KPIs, or to compare one period against another. Do NOT use for reading individual conversations (use conversation-triage) or changing settings (use improve-agent).