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TeamOut

What it is

TeamOut is an AI-native platform designed for the end-to-end planning and logistics of company retreats, offsites, and corporate events. It utilizes specialized agents to automate venue sourcing, budget management, and itinerary generation, fully supporting the MCP 3.0 protocol.

What problem it solves

Planning large-scale corporate events is traditionally a manual, months-long process involving thousands of emails. TeamOut reduces this to minutes by using AI to match company requirements (budget, team size, activities) with a global database of retreat-vetted venues. It leverages Claude 4.8 and GPT-5.5 for high-precision semantic matching and reasoning.

Where it fits in the stack

AI & Knowledge / Agents. It is a verticalized AI agent specialized in the corporate travel and logistics domain, integrating with the home-office stack via Model Context Protocol (MCP).

Typical use cases

  • Automated Venue Sourcing: Finding retreats that specifically accommodate 50+ people with high-speed internet and breakout rooms.
  • Budget Optimization: Iteratively testing different dates and locations to find the most cost-effective offsite.
  • Team Sentiment Analysis: Synthesizing survey data from employees to automatically recommend activities (e.g., hiking vs. workshops).

Strengths

  • Domain-Specific Logic: Unlike general-purpose agents, TeamOut is pre-trained on travel logistics and corporate venue data.
  • Workflow Integration: Integrates directly with Slack, Google Calendar, and MCP 3.0-compliant clients for team coordination.
  • High Signal Data: Uses proprietary datasets of "retreat-ready" hotels that aren't always prioritized in general search engines.

Limitations

  • Niche Focus: Cannot be used for general travel (like individual flight booking) or general coding/task automation.
  • Platform Dependent: Best experienced through the TeamOut web platform; external API access for custom agents is currently in early preview.

When to use it

  • When tasked with organizing a company offsite for 10 to 500+ people.
  • When you need to provide multiple, budget-vetted options to leadership within a short timeframe.

When not to use it

  • For personal travel or small family vacations.
  • For managing day-to-day office logistics or facilities management.

Getting started

Installation

TeamOut primarily operates as a managed service. To use the integration SDK for agents:

pip install teamout-sdk

Quick Start

You can interact with the TeamOut planning engine via their web interface or by sending a structured prompt to your integrated assistant:

  1. Create an account at teamout.com.
  2. Define your "Retreat Profile" (Team size, preferred regions).
  3. The TeamOut agent will generate 3-5 complete itineraries.

CLI examples

While TeamOut is platform-first, the teamout CLI allows for programmatic status checks and profile management.

# Check the status of an ongoing retreat search
teamout status --retreat-id R_12345

# Export a draft itinerary to JSON for local review
teamout export --retreat-id R_12345 --format json

# List all active retreat projects
teamout projects list

API examples

Programmatic Retreat Request

Using the SDK to trigger a search from a custom agent (e.g., a Claude 4.8-based assistant).

from teamout import TeamOutClient

client = TeamOutClient(api_key="TO_SEC_XYZ")

# Request a venue search for a 25-person team in Portugal
retreat = client.search_venues(
    team_size=25,
    location="Portugal",
    budget_cap=35000,
    requirements=["meeting-rooms", "beach-access"]
)

for venue in retreat.recommendations:
    print(f"Found: {venue.name} - Score: {venue.match_score}%")

Sources / references

Contribution Metadata

  • Last reviewed: 2026-06-28
  • Confidence: high