AI 是长期结构性技术,当前确实有泡沫; 其 ROI 也尚未充分证明。
当然, ROI 还没验证,不代表未来不会验证,AI 的长期价值需要成本下降和流程融合后才会真正释放。
我觉得作为个人来看,一方面是跟上 AI 的做法,在投资方面可以随波逐流一小段, 但是要清醒的认识并及时退出 (虽然这个实际上是很难)。
Now at 313 downloads on ClawHub.
https://t.co/RLCiMiYJDz
I’m looking for your feedback, just DM me:
- Did it find actual waste?
- Did it create false positives?
- Was the next action clear?
or anything you wanna share.
Key principle:
Low output is not waste by itself.
Waste means the agent consumed tokens without producing useful downstream value.
Try:
check token waste for [My_Agent]
or:
eval cost change for [My_Agent]
I built Agent Token Cost Signal Kit to catch these signals earlier.
It does not calculate exact billing.
It flags token-waste patterns and gives a practical next action:
- watch only
- investigate one path
- keep status quo
- review rollback candidate
Agent cost waste often does not come from expensive models.
It comes from silent recurring loops:
-scheduled jobs returning NO_REPLY
-duplicate cron tasks
-retries with no useful result
-full agent loops launched when no upstream signal exists
That is where token waste hides.
TokenSave v0.1 is live: https://t.co/iPDJsxhF3L
A local-first tool for auditing recurring AI agent job waste:
duplicate jobs
retry loops
stale automations
routing/model waste
silent failure patterns
No telemetry. No external API calls. No auto-remediation.
Feedback welcome.
Try it here:
https://t.co/XOezil7V9z
If the output is confusing, too long, or not useful, DM me directly.
I’m especially looking for feedback from people who actually do long-term business research.
Most investors waste too much time asking:
“Should I buy this stock?”
Wrong first question.
The better first question is:
“Is this company even worth researching?”
So I made a small OpenClaw skill:
What Buffett Would Do
Use it like this:
“what Buffett would do with [company/ticker]”
It gives you 3 things:
1. Research Now / Watch / Skip / NEEDS INFO
2. What to check first
3. A prompt you can paste into your agent
No buy/sell call.
No price target.
No fake Buffett prediction.
5/ Please don’t send raw logs, secrets, Telegram IDs, private job names, or full payloads.
Redacted feedback is enough:
“Top 1 was useful”
“false positive”
“failed to run”
“unsafe command”
“would use again / would not”
Blunt feedback is exactly what I need.
Cheers,
1/ Your OpenClaw cron jobs may be quietly burning tokens.
I built a local-first Waste Audit skill to help users find:
- which recurring jobs are wasting tokens
- which one to inspect first
- why it matters
- what evidence supports it
No API key. No account access. No log upload
4/ If you use OpenClaw/Hermes Agent, please try it and DM me directly on X with feedback.
Tell me:
1. Did it run successfully?
2. Did it find real waste?
3. Was the Top 1 recommendation useful?
4. Was anything unsafe or confusing?
5. Would you use it again?