What's great
Handles deployment overhead and comes with pre-built sandbox infrastructure. You don't have to pay for separate compute resources for auxiliary tasks.
What needs improvement
No visibility into intermediate steps during long-running tasks. When something takes hours, you're completely blind to what's happening or where it might fail. For technical work—debugging, optimization, complex deployments—this is a serious limitation. You need to see the reasoning, not just wait for a final result.
vs Alternatives
OpenClaw, but HappyCapy's integrated sandbox makes it more self-contained.
Does Trickle support role-based access controls?
Not mentioned in the docs I've seen. If team access and permission controls matter for your use case, that's worth asking them directly before committing.
What limits exist on free credits and usage tiers?
Free tier comes with limited credits (exact amounts depend on task complexity). Pay-as-you-go after that, but it's not entirely clear how pricing scales with compute-heavy operations. The pre-built sandbox helps keep costs down compared to rolling your own infrastructure, but don't expect unlimited free usage.
Does the platform handle long-running AI tasks gracefully?
Not really. Long-running tasks work, but you get zero visibility into what's happening. You submit something, it processes for hours, and you're completely blind to the intermediate steps or reasoning. If something goes wrong, you won't know where it failed or why. For simple tasks it's fine, but for complex technical work—deployments, optimizations, debugging—this is a real gap. You need to see what the agent is actually doing, not just the final result.