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Show HN: Corgi, a helpful {agent, terminal} multiplexer

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5 days 13 hours ago

Hey everyone,

Inspired by Herdr, I've built an agent multiplexer that I've been using as my daily driver for a few weeks now.

I think I improved on the concept in a few ways, focusing on the ergonomics I always wished I had:

I show you what the agents are up to, along with a running feed of their activity. There's also a simple shortcut (F1) to go to the next unread agent.

I use multiple accounts, so I've added unified launcher for Codex/Claude Code/Pi. Theres some careful ergonomics there: fast search and resume over sessions, inline usage tracking etc.

Many small quality of life improvements to the terminal experience: - Links can be copied with a click, so no need to drag-select over many lines - cmd+v just pastes images (even on SSH) - images have a thumbnail preview. - Built-in CPU/Memory/GPU usage tracking, broken down by workspace

I assume you have access to cheap inference (Luna/Haiku/etc). It just reuses the agents to organize things for you: what is this http link? what is this worktree about? what is each agent doing? It's small but it made my environment feel more cozy.

On a personal note, I've been on a frustrating sick leave for a while now. I created Corgi to challenge myself, and see if I can go back. The answer is more mixed than I had hoped, but I am happy with the result and thankful for the experience.

I hope you like it! a few friends & myself have been using it for a few weeks and it's been pretty nice. There's still a lot to improve and some rough edges, so feedback would be greatly appreciated.

Thank you :)

Comments URL: https://news.ycombinator.com/item?id=50214373

Points: 92

# Comments: 24

If you are building AI for finance, get out while you can

Hacker News Front Page
5 days 14 hours ago

LLMs are good with probabilistic logic (words), but not as good with deterministic logic (numbers).

As oppose to what everybody thought 3 years ago, LLMs are not very good with finance. Makes sense when you think about it as AI in 2025 still rely heavily on language transformers, and transformers are more or less probability calculators.

Ai agents in accounting firms are way less effective than Ai agents in law firms for example. 1 wrong word in the bylaws can break your entire company. Accounting is more precise, it tolerates less mistakes, and the rules that govern it are much less option to intrepretation.

In accounting, the rules are more grounded. Not in precedent but in a generally accepted specific rulebook. Gross profits mean the same in the US as it does in Bangladesh, and it will mean the same 100 years in the future.

In accounting, probability is very bad. A single bad journal entry in a 100,000 ledger can distort the entire balance sheet. And we know that no LLM will ever reach 100% accuracy rate because its reasoning is probabilistic, not absolute. Campfire raised $65m and built an entire accounting module from scratch, they only managed to achieve ~95% accuracy rate.

It might feel like 95% is very close to 100%, but that is not how it works. A football player such as Arbeloa, who ranks in the 80th percentile, is not remotely comparable to someone in the 90th percentile. Now imagine a player who is better than 99% of all football players who ever lived; that superstar is on an entirely different level, and Arbeloa would lose 0–10 to him every single time.

All of which without mentioning the 99.99th percentile, where the gap becomes unimaginable to human minds. Accounting follows the same power law; 99% accuracy rate might sound close to perfect, but across 100k ledger entries, that means ~1k bad entires. You can hire someone to go through the bad ones, but how can we know which ones are going to be bad. Its definitly a cost saver, but it's not the same as coding or legal. Also, all the major labs are going after accounting after they finish with coding, so margins are going down fast.

Yes, most accountants have an accuracy rate below 90%, but humans are allowed to make mistakes because YOU CAN SUE A HUMAN. That might not be a big deal in other areas, but when it comes to finance, companies suddenly get very risk averse. Its not even the hullication part that scares them, but the part where the Ai missed something. Bookkeeping can be divided into smaller tasks and automated fine, but accounting is a different story. Its about accountibility more than anything else.

Humans have a MAJOR advantage over AI; we can be held legally accountable. If it weren't for that, most of us will be obsolete already. Under Sarbanes Oxley, any company no matter how small must have a "human" finance officer (CFO), and a "human" controller. Courts won't allow an Ai attorney to present a case no matter how good it was at the job.

Comments URL: https://news.ycombinator.com/item?id=50213770

Points: 4

# Comments: 3

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