mfrye0
Joined 10 years ago
Joined 10 years ago
I had to call the IRS this spring and it was hell. I repeatedly was on hold for 1+ hour(s) then get hung up on. Or someone would finally answer, I'd explain, they'd put me on hold for another hour, then just hang up on me. A total of 10+ hours collectively waiting to finally have my questions answered in 10 minutes.
That said, I'd love if the IRS had an AI, where I could send my AI to go deal with it on my behalf. Then if it truly requires a human in the loop, we schedule accordingly vs me on the phone for 10 hours.
It sounds like this is a new layer on top of your existing storage layer? So to use this, would I need to give you all of my data first? Or is there a version that can be run on prem?
It was our first home after getting married. The condo HOA will probably go down as the most disfunctional HOA in California history - not exaggerating. It has/will cost an obscene amount of time/money that I will never get back.
Gemini generateContent request failed: { "error": { "code": 429, "message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ", "status": "RESOURCE_EXHAUSTED", "details": [ { "@type": "type.googleapis.com/google.rpc.Help", "links": [ { "description": "Learn more about Gemini API quotas", "url": "https://ai.google.dev/gemini-api/docs/rate-limits" } ] } ] } }Before Claude Code, a full cloud migration could easily be a couple months. We migrated our whole stack to GCP in about a week. It's trivial to switch clouds now with K8 stack and Claude Code.
I couldn't find something, so I rolled a version together based on redis and job queues. It works decently well, but I'd prefer to use something better if it exists.
Does anyone know of something like this that isn't completely over engineered / abstracted?
I've been using BullMQ for awhile with distributed workers across K8 and have hacked together what I need, but a lightweight DAG of some sort on Postgres would be great.
I took a brief look at your docs. What would you say is the main difference of yours vs some of the other options? Just the simplicity of it being a single sql file and a sdk wrapper? Sorry if the docs answer this already - trying to take a quick look between work.
Here's the live mermaid editor version for the Ikea example: https://mermaid.live/edit#pako:eNqNkV9PwjAUxb9KcxPfRrO17E_3Y...
On the research, you're absolutely right. It fits that sweet spot where it's just easy / boring / tedious enough to automate with the current generation of LLMs.
We found that going both up the chain and down / sideways in the chain was too much for the agent to handle - they are two distinct operations. The #1 use case was customers trying to understand the ultimate parent, so we decided to focus on that first.
We have something roughly working on subsidiaries, but it's not ready for prime time yet. It would likely be a separate API.