@DocSpring - POST JSON; GET PDF - Fill, generate, and sign PDFs via API. I also have some other interests

Joined March 2009
3,492 Photos and videos
It's so annoying that I can't keep using Fable to work on this. It's the only model that was actually able to make any progress. Opus 4.8 is going round in circles again x.com/ndbroadbent/status/206…

Replying to @ndbroadbent
Woohoo, I've fully reproduced a string theory paper end-to-end in Rust. All five published McAllister vacua. Wouldn't have been able to do this without Fable 5 github.com/ndbroadbent/cyrus
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I hope I can get to use Fable again in New Zealand. That was a very good model
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I'm excited about Fable 5, it might finally help me crack this string theory project I've been working on: github.com/ndbroadbent/cyrus I burned way too many credits running gpt-5.5 in a loop in Codex and it didn't make much progress.
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I finally got my string landscape GA search running again
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Seems promising so far. Will run this for a few months and see what it can find
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CodeForge ran all night and finished all the work that was queued. Total cost: $9.60 USD DeepSeek V4 Pro is actually pretty good, and very cheap!
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DeepSeek V4 pro is actually really good! I'm impressed with how much it can do. Plus it's the only model I can actually afford to run in a loop all night
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My CodeForge app is coming along. It’s fun to build an app that builds apps
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CodeForge is now "self-hosting" and able to build itself. I just need to queue up the work
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The uptime for all these AI providers seems to be suspiciously high. I would have expected a lot more issues and GPU shortages
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All this talk about loops has got me inspired to finally start working on this “CodeForge” idea. There are many versions of this already but I think i have to build my own in order to make it work with IaC, CI, integrations, etc. Going to use DeepSeek v4 so I don’t go bankrupt
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The loop for each “work item”: PRD (deep research via RAG, web, etc.), PRD review, code, initial code review based on PRD, coderabbit code review, run tests/linters, commit and push, wait for CI, fix CI, open PR, deploy to staging, QA on staging (via API and/or playwright)
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Eventually the dream is to have a one-click “fix Sentry error” button
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I’ve gone from 10 OpenClaw agents to 2, then to just one. Too much complexity trying to keep everything separate - I’ll build a skill for one agent and then have to reimplement everything. So I think just having one agent for everything is the way. Both personal business
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Also need to get things working well with a single-threaded agent before I jump into parallel stuff. I jumped in too fast before and made a huge mess
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Experimenting with AI is expensive
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Finally got around to setting up RAG (Retrieval-Augmented Generation) for all my data so my OpenClaw agent can find stuff. Decided to use Open WebUI for this and the oikb tool, and got OpenClaw to write a CLI tool to search the pgvector db
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I wasn't sure if this would be useful, but I'm using it for a real project now - organizing travel. I now have my own private ChatGPT where I can ask things like "What are all the flights I booked for the next few weeks, and did I book baggage allowance?"
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And I can get it to find and extract PDF attachments from my emails and organize them nicely in Google Drive folders. So I think this is a worthwhile endeavor so far
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