Know what a paper says in 5 minutes
Saves about 3h a week. Set it up once and it runs on schedule.
Right now it's all manual
You bookmark papers to "read later," skim the abstract when a deadline hits, and still can't tell if the findings hold up or what they mean for your work.
One agent that does this job
It becomes a single installable agent with memory, tools, and safety labels.
Preview what comes out
A 24-page ML paper claiming a new method beats the prior state of the art
"Claim: method X cuts error ~12%. Evidence: solid on 2 of 3 benchmarks, small sample on the third. Why it matters: could lower your inference cost. Look at Figure 4."
Same job, far less manual work
A person does it by hand every time — collecting, writing, and cleaning up, the same work over and over.
On request, reads a paper and returns a plain-language claim, an evidence-strength check, and the one chart to look at.
Four steps
Describe the job in one sentence; we only ask for the missing details.
Review the generated agent, its files, permissions, and safety labels before any run.
Download the ZIP or import to Desktop and try it once on your own AI account.
Let it repeat as weekly work while Desktop is open.
Inspect everything before it runs
Before publish or install, a security scan checks secrets, unsafe code, and over-broad permissions. You can see what the agent accesses, and important actions wait for human review. Agentlas does not host or proxy models — it runs on your account and keys.