Meet Scout
Give Scout an article, a PDF, a video, or a deck. It reads the whole thing, finds the argument that matters, and hands you a finished brief, a graphic, or a short explainer. Download it and drop it straight into your work. A free chatbot leaves text in a window. Scout gives you the thing you were going to build from that text.
Who it's for
If your day disappears into documents, Scout hands back the part that matters, in the shape you need it.
What Scout gives you
Scout studies the source for the argument underneath it, then gives it back five ways. Each one is finished work you can pick up and use.
The point is the deliverable. A free chatbot leaves text in a window for you to copy out. Scout hands you the finished brief, graphic, or explainer as a file, ready to use in your own work.
Feed it anything
Real output
Here is Scout on a real essay, Leopold Aschenbrenner's Situational Awareness. One source, five outputs. Nothing here is mocked up.
Aschenbrenner's single, loud claim is that almost nobody has truly grasped what's coming. He argues the same steady improvements that took AI from grade-school to top-undergraduate level will, on the same trend line, carry it to systems that out-think the smartest humans by the end of the decade, and then those systems accelerate their own progress.
The point that matters: this stops being a story about chatbots and becomes one about national power, security, and a race already underway, mostly unnoticed. He isn't predicting magic. He's extrapolating a curve and asking why so few people take it seriously.
The core is a scaling-law extrapolation wedded to an intelligence-explosion thesis. Progress is counted in "orders of magnitude" (OOMs) across three compounding inputs: raw compute, algorithmic efficiency, and "unhobbling" (tools, agency, scaffolding). It projects another GPT-2-to-GPT-4-sized jump by ~2027.
Thesis: trend-line extrapolation of compute, algorithms and unhobbling implies AGI is plausible by ~2027 and a fast superintelligence transition shortly after, which makes this a national-security problem before a product one.
Key points
Remember: the argument is an extrapolation, not a proof; its force is in the trend and the lack of attention paid to it.
Character: Leo, a lone researcher at a desk in a dim San Francisco apartment.
Through-line: a single rising staircase read left-to-right, where each step is an order of magnitude and the climb never plateaus.
The eye starts bottom-left at "GPT-2 · 2019", climbs steps labelled with the three inputs (compute, algorithms, unhobbling), passes a dotted "human expert" line near top-centre, and continues off the top-right into a glow marked "automated research." A thin second line peels off at the top and loops back down, the recursive acceleration, landing the whole argument as one connected image rather than a bullet list.
Source studied: situational-awareness.ai · run live through Scout.
Try it now
Paste your Anthropic key and the text you want studied. It runs in your browser, on your key, and sends your data nowhere but Anthropic. No key yet? Join the early-access list for the hosted version with free credits.
Pricing
Credits, in rupees. A study costs a credit. Downloading the finished brief, graphic, or explainer is where the value is.
Final ₹ pricing is being set. Join the waitlist and you'll get the launch rate locked in.
Early access
No key needed, link and PDF support, downloads included. We'll email you the day it opens, and hold your launch price.
Honest Build HQ
We're a small studio building genuinely useful tools on top of Claude. Each one does a real job from start to finish. Scout takes the everyday work of reading something long and hands back something you can use.
More tools are close behind. We build them in the open, and we price them honestly.