Latitude 2.0

Product Introduction

1. Latitude 2.0 is a no-code platform that enables users to create autonomous AI agents using natural language prompts, eliminating the need for manual coding or predefined workflows. It automates complex tasks by dynamically planning, connecting, and executing actions across integrated tools and services. Agents can handle multi-step processes, adapt to outcomes, and operate independently after initial setup.
2. The core value of Latitude 2.0 lies in its ability to transform unstructured user prompts into fully functional AI agents that interact with 10,000+ tools and APIs. It reduces development time from hours to minutes by abstracting technical complexity, enabling users to focus on defining goals rather than implementation details.

Main Features

1. Latitude 2.0 allows users to build agents entirely through natural language prompts, such as "Create an agent that pulls leads from HubSpot, writes personalized emails, and updates deal statuses." The system automatically configures API connections, logic flows, and error handling without requiring code.
2. The platform integrates with 2,800+ apps (e.g., Notion, Slack, GitHub, Sentry) and supports custom tools via HTTP APIs or MCP servers. Agents can execute actions like fetching data from Google Drive, analyzing sales call transcripts, or creating draft PRs in GitHub based on real-time triggers.
3. Autonomous orchestration enables agents to delegate subtasks to specialized sub-agents, such as a bug-fixing agent that investigates GitHub repos, suggests fixes, and assigns tasks to developers via Slack. This hierarchical architecture ensures scalability and context-aware decision-making.

Problems Solved

1. Latitude 2.0 addresses the inefficiency of manually building and maintaining rigid automation workflows in tools like Zapier or n8n, which lack adaptive reasoning. It replaces static "if-this-then-that" logic with dynamic agents that learn from outcomes and adjust behavior.
2. The product targets developers and non-technical teams (sales, marketing, support) who need to automate complex, multi-tool workflows without relying on engineering resources. It is particularly valuable for startups and SMBs scaling operations with limited technical staff.
3. Typical use cases include automating cold email campaigns by pulling leads from HubSpot and sending personalized emails via Gmail, analyzing customer support transcripts to generate Slack feedback, and monitoring Sentry errors to auto-create GitHub PRs for bug fixes.

Unique Advantages

1. Unlike Zapier or n8n, which require users to manually design step-based workflows, Latitude 2.0 agents autonomously plan task sequences using LLM reasoning. For example, a content repurposing agent can decide whether to prioritize LinkedIn or Reddit formatting based on historical engagement data.
2. The platform introduces agent-to-agent delegation, enabling complex workflows like a Slack bot that autonomously searches Google Drive, summarizes findings, and asks clarifying questions if context is missing—a capability absent in traditional workflow builders.
3. Competitive advantages include zero-code natural language setup, built-in observability with run tracking and error diagnostics, and support for 2,800+ pre-integrated tools. These features reduce iteration cycles from days to minutes compared to frameworks like LangGraph.

Frequently Asked Questions (FAQ)

1. What is Latitude and how does it work? Latitude is a no-code platform that converts natural language prompts into autonomous AI agents. Users describe their automation goals, and Latitude configures the necessary API integrations, logic flows, and error handling using LLMs.
2. When should I use AI agents instead of traditional automation? Use Latitude agents for tasks requiring ambiguity resolution, multi-step decision-making, or adaptive workflows, such as lead scoring with dynamic criteria or content repurposing across platforms with style adjustments.
3. How does Latitude differ from Zapier? Unlike Zapier’s static workflows, Latitude agents use LLM reasoning to adapt actions based on real-time data. For example, a sales follow-up agent can modify email templates based on lead response history without manual reconfiguration.
4. What can I automate with Latitude? Common automations include CRM updates, content generation, error debugging, and market research. Specific examples include auto-fixing Sentry errors via GitHub PRs and summarizing sales call transcripts for Slack feedback.
5. Is Latitude free to use? Latitude offers a free tier for testing basic agents, with paid plans scaling based on monthly active agents, API call volume, and premium integrations like HubSpot or Salesforce.