Latitude
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About
Latitude is a no-code platform designed for building autonomous AI agents using natural language. It allows users to automate complex tasks that go beyond traditional "if-this-then-that" logic, offering solutions for ambiguous, multi-step decisions, or evolving workflows. Unlike rigid workflow tools, Latitude agents make decisions using reasoning, learn from outcomes, and adapt their actions. The platform provides a prompt-first, zero-code environment with over 2,800 integrations. It offers built-in run tracking, error insights, and supports orchestration across multiple agents. Common use cases include lead scoring, content repurposing, inbox triage, market research, and personal life admin agents.
Platform
Task
Features
• evaluation and observability tools
• versioning, publishing, and rollback for prompts/agents
• built-in run tracking and error insights
• agent orchestration (latte splits work across agents)
• autonomous agents that plan and operate independently
• 2500+ deep integrations
• prompt-first, zero-code agent building
• build custom ai agents using natural language
FAQs
What is Latitude and how does it work?
Latitude is a no-code platform to build autonomous AI agents by chatting. Just describe what you want, and Latitude sets up the system using LLMs and integrations.
When should I use AI agents?
Use AI agents when you need automation that goes beyond "if-this-then-that" logic. They're ideal for tasks with ambiguity, multi-step decisions, or evolving workflows.
What is an AI agent?
An AI agent goes beyond a chatbot or basic automation. It can think through tasks, learn from results, adapt its actions, and use different tools to get things done on its own.
What’s the difference between AI agents and Zapier or n8n?
Unlike rigid workflow tools (Zapier, n8n), Latitude agents make decisions using reasoning. They learn from outcomes and adapt, not just run static triggers.
What can I automate with Latitude AI agents?
Common use cases include: Lead scoring & follow-up, Content repurposing, Inbox triage, Workflow debugging, Market research, Personal agents for travel, finance, and life admin.
Is Latitude free to use?
Yes, there's a free tier for exploring, with paid plans based on usage, integrations, and agent volume.
Pricing Plans
Enterprise
Unknown Price• Unlimited users
• Unlimited runs
• Private agents
• Priority support
• Deploy on cloud
• Self-host
Job Opportunities
Prompt Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Benefits:
Medical
Dental
Vision benefits
401k with company matching
life insurance
Experience Requirements:
Strong engineering mindset with proven problem-solving skills
Experience or familiarity with prompt engineering, AI, and LLMs
Prior engineering background in any discipline is highly preferred
Ability to thrive in a collaborative, hybrid work environment
Other Requirements:
applicants must be willing and able to work on a w2 basis
Responsibilities:
Design, test, and optimize AI prompts using Copliot
Develop and implement standard prompting procedures
Build and maintain a centralized enterprise prompt library
Collaborate with cross-functional teams to deliver scalable AI solutions
Show more details
LLM/Prompt-Context Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies
Hands-on experience integrating AI agents and LLMs into production systems
Proficient with conversational flow frameworks such as LangGraph
Show more details
Prompt-Context Engineer
Latitude is a no-code platform that empowers users to build custom autonomous AI agents using natural language for automating complex tasks.
Experience Requirements:
Deep experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs)
Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies
Hands-on experience integrating AI agents and LLMs into production systems
Proficient with conversational flow frameworks such as LangGraph
Show more details
Ratings & Reviews
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