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2 hours ago
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Workflow Builders
(e.g. Zapier, n8n…)
Agent frameworks
(e.g. Mastra, LangGraph…)
Ease of use
How easy is it to build an agent?
Prompt-first, zero-code
Build complex agents in minutes with natural language
Visual but not intuitive
Logic requires trial and error
Developer-focused
Requires code, config, and architecture understanding
Templates & onboarding
How easy is the set-up?
Latte guides you at every step
It suggests agents and workflows to help you start fast
Many templates
Great for common workflows (e.g. CRM, email), but not agent-native
No templates
You build from scratch, often with unstable results
Natural language setup
Can I use plain English to create AI Agents?
Describe goals in plain English
Latte handles the architecture
Some allow plain language prompts
But most require config logic
Some goal prompting
But it’s trial-and-error and unpredictable
Integration ecosystem
Can I connect it to my tools?
2500+ deep integrations
Agents can call tools and other agents
Broad app coverage
But limited to step-based logic, no agent context
No plug-and-play
Manual API calls, fragile setups
Autonomy & orchestration
Can agents delegate to other agents?
Latte splits work across agents
(so you don't have to)
Limited logic branching
No real autonomy or memory
Can orchestrate agents
But it’s fragile and unpredictable
Analytics & observability
Can I see what the agent is doing?
Built-in run tracking, error insights
Designed for fast debugging & iteration
Some logs and alerts
But debugging complex flows is hard
Black-box runs
Hard to trace what went wrong or why
