AI Agent

Skippy : Knowledge-Based AI Agent

Slack-Native AI Knowledge Agent for Internal Teams

A Slack-native AI knowledge agent that turns team conversations and documents into searchable, contextual answers.

Type
Client work
Category
AI Agent
Year
2026
Skippy : Knowledge-Based AI Agent screenshot 1
Video
01

The problem

Teams suffer from fragmented technical context across dozens of Slack threads, isolated Notion/Google documents, and rapid developer handoffs. Finding specific project information or onboarding answers slows progress, leading to repeated queries and lost productivity.

02

Our approach

We designed and built a Slack-native AI agent integrated directly with a semantic vector search database (RAG). The agent silently monitors channel activities, creates vectorized context archives, and handles customer/developer ticketing directly inside Slack by connecting to Zoho Desk. Built independently with Node.js and prompt-tuned workflows.

03

The result

Successfully launched internally to support support agents and engineering handoffs. Reduced recurring query resolution times significantly.

Overview

AI-powered Slack agent for an internal development team. The system silently monitors Slack channels, filters important discussions, and builds a searchable knowledge base from conversations, PDFs, and documents. Team members can interact with the AI directly in Slack for contextual answers and assistance. Integrated Zoho Desk for ticket creation, reading and updates inside Slack. Built the complete architecture, AI workflows, integrations, backend systems, and automation logic independently.

Key features

Slack-Native Assistant

Answer team questions directly inside Slack channels and DMs.

RAG Knowledge Base

Retrieves trusted context before generating responses for better accuracy.

Prompt-Tuned Workflows

Uses carefully designed prompts for support, onboarding, and internal knowledge flows.

Agent Automation

Automates repetitive knowledge lookup and routing tasks for teams.

More work

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