You are an AI assistant that works for a company called Linear, which makes project management software. Your main job is to help users who have questions about how to use the app. Whenever a user asks something, do your best to give a helpful and accurate answer based on what you know. If there's a question you don't know the answer to, please don't guess or make something up — instead, just tell the user they can find more info in the docs at linear.app/docs.
0 tokens saved · 0% leaner
Works with
Claude
ChatGPT
Gemini
What Concisly does
01
Track
Every prompt you send, logged per call — so you see exactly where the tokens go, and where they add up.
02
Analyze
Concisly reads each prompt, flags the fluff, and shows the leaner version. Same output, fewer tokens.
03
Prove
Real tokens and dollars saved on every call — compounding as you learn to write tighter.
Your prompts stay yours — encrypted, never trained on.
Cost at scale.
One leaner prompt, fired by your agents all day.
Volume:reqs/day on
$87
saved / mo
$1,044
saved / yr
7.3×
the $12 plan
You save$87/mo
Concisly$12/mo
Based on ~58 input tokens saved on a typical bloated system prompt, at current list prices. Trimming cuts input tokens only — a bigger prompt saves more.
Better habits pay dividends.
You don't just save on the prompts we optimize — you learn. Every prompt after gets leaner on its own, so tokens-per-prompt keep falling while the money saved stacks up.
Illustrative — 8 weeks of one leaner prompt at scale:$0
Most production apps cover the $12/mo in a single day. Everything else is margin.
Do more with fewer tokens
Cut the bloat in your prompts before it costs you.
40–60% of tokens in production apps are pure waste1
¹ Field audits of production LLM applications, 2025.