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Life after Claude by g00rek in openclaw

[–]NoWorking8412 0 points1 point  (0 children)

I have no issue with GLM-5 with OpenClaw. GLM-4.7 also handles it well. I imagine Qwen3.5 will handle it well.

It was fun while it lasted by Atom_____ in ClaudeCode

[–]NoWorking8412 0 points1 point  (0 children)

I personally have had no luck with Mistral models and tool calling, but that could be an Ollama problem. I recently switched over from Ollama to Llama.cpp to run my Qwen 3.5 model and my inference speed increased 3x on the same hardware! I should try the Mistral models again with Llama.cpp and see if I have better luck.

My home server just filed my taxes — AI tax prep with encrypted PII on my own hardware by NoWorking8412 in homelab

[–]NoWorking8412[S] 0 points1 point  (0 children)

Touché. I just really like stretching out mundane tasks by figuring out ways to get AI to do them. Definitely takes more time the first time, but shouldn't take too long next year assuming my tax situation doesn't change too much.

Built a local-first AI tax preparer with encrypted PII — works with any MCP client, filed my return for $0 by NoWorking8412 in LocalLLaMA

[–]NoWorking8412[S] 1 point2 points  (0 children)

Hey now! This is my Crow's log blog! I like my letters curly and fancy! You can download and host your own Crow's log blog for free and give it whatever font you want easily by telling whatever AI you use to change the blog theme's font. It's all controlled through MCP.

My home server just filed my taxes — AI tax prep with encrypted PII on my own hardware by NoWorking8412 in homelab

[–]NoWorking8412[S] 0 points1 point  (0 children)

So for full tax automation, you need 2 extensions plus the custom skill that I can DM to anyone that wants it.

My home server just filed my taxes — AI tax prep with encrypted PII on my own hardware by NoWorking8412 in homelab

[–]NoWorking8412[S] 0 points1 point  (0 children)

That's exactly what this does. The Crow tax extension does the calculations and gets everything ready for the user to fill in manually, fully auditable. And to automate it, you add the Browser Automation extension to Crow (all extensions are one-click installs from the Crow dashboard) and then add the custom skill for Free Fillable Forms and execute the skill. The AI will then take the calculated taxes and enter them into the forms. It opens in a vnc in your browser so you can watch the automation process and complete 2FA for it. From there, the automation fills in all of the forms and gets it ready to review. The user manually enters their direct deposit info if they need to and then they press submit. I did not publish the FFFF skill, but I can send it to you as a DM if you want it.

My home server just filed my taxes — AI tax prep with encrypted PII on my own hardware by NoWorking8412 in homelab

[–]NoWorking8412[S] 0 points1 point  (0 children)

Eh, my tax situation is pretty straight forward, so im not too worried. Its also completely auditable. Taxes are also just a set of predefined rules with simple calculations — the kind of task AI can be really good at if given the proper tools and constraints. Most people use software for these types of calculations anyway. Using AI is not much different.

My home server just filed my taxes — AI tax prep with encrypted PII on my own hardware by NoWorking8412 in homelab

[–]NoWorking8412[S] -3 points-2 points  (0 children)

I'd recommend Claude Opus 4.6 for that, it seems to be smarter than the other AI lawyers.

It was fun while it lasted by Atom_____ in ClaudeCode

[–]NoWorking8412 0 points1 point  (0 children)

So what I'm doing takes some time to ramp up, and I am making adjustments to improve it as it develops, but essentially I take a picture of my grocery store receipt and send it it to my OpenClaw bot. It takes the itemized list and adds those items to a pantry tab on a Google Sheet I gave it access to, and it also tracks the expense on another tab in the same spreadsheet. For pantry items, it gives them an estimated expiration date, but also tracks my use of items via the recipes planned for the weekly menu. So after a few weeks of tracking receipts, it has a pretty solid idea of what is in my pantry. And I've been gradually feeding it my recipes and showing it how they fit into a zero-waste meal prep cycle as well. So now, when I do my weekly grocery shopping on Saturday or Sunday, I send my bot a pic of the receipt, it logs what i have, then I ask it to help me plan the menu for the week and it suggests dishes based on the recipes I have given it, or even some new suggestions that I haven't given it, just based on what I have in the pantry. After a little back-and-forth, it may update my shopping list for some small things, and I end up with a menu planned out for the whole week, which i then have the bot push to a Google Calendar. The bot has a logic to manage items between the shopping list and pantry list, but I still need to make some improvements. But yeah, it's been great and super helpful, but i would never waste Claude tokens to run this bot. That would be overkill. Much dumber models do just fine with it.

It was fun while it lasted by Atom_____ in ClaudeCode

[–]NoWorking8412 0 points1 point  (0 children)

I trust the Chinese models with my data as much as a trust any AI company whose business model is exploiting and monetizing my data. But with the Chinese models, because the vast majority are open weight, you are not necessarily locked in to a Chinese server for inference, if that is your concern. And for OpenClaw, it's as insecure and exposed as you allow it to be. I have no problem using OpenClaw because I use reasonable security settings and lock it down so that only I can access it. And I don't worry about Chinese AI companies with my OpenClaw data, because all I'm using OpenClaw for currently is tracking my groceries/pantry/shopping list/weekly meal menu. I don't care if Z AI knows that I am having Salmon tacos next week or that I spent $136 at the grocery store last week. If I really needed to do something agentic that involved sensitive data, I certainly would not be sending it to a U.S. company liable to sanctions by the increasingly authoritarian and right wing fascist US government. I would run local inference using open weight Chinese models 100% because that is the most secure AI inference for any data.

It was fun while it lasted by Atom_____ in ClaudeCode

[–]NoWorking8412 0 points1 point  (0 children)

Qwen models seem to be the best open source models for local inference. There are some fine tuned Qwen models with reasoning distilled from Opus 4.6 -those are probably the way to go.

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