most agents don't fail because of the model.
they fail because they read their entire tool catalog before doing anything useful.
invisible at low volume. guaranteed at scale.
stop showing your agent everything. show it what the task actually needs.
we cut inference cost hard and agents stopped timing out in prod.
pnpm add @ratel-ai/sdk
50 tools in your agent = 6,000 tokens per run before it does anything.
Ratel's filter cut token usage by 40%.
=$22k/year back.
Book Seychelles :)
pnpm add @ratel-ai/sdk
I didn’t realize my agent was this bad.
Ran Ratel’s /ratel-assessment on a codebase I’ve been shipping for months.
The context was completely bloated.
The report didn’t lie :(
We can cut Anthropic’s token costs by 82%!
No model switch. No prompt engineering.
Just a filter between your agent and its tool catalog.
Claude Sonnet + Ratel:
-82% input tokens
-68% cost
Same tasks. Zero code changes.
Repo in first comment.
#AI#AIAgents#Claude