Trackmind (@0xTrackmind)

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Fable 5.2 is insane for coding agents...

send this prompt to Claude Fable 5.2 and it will turn into a software factory of 30+ senior engineers at 5% of the cost

then read the full guide to building a self-running coding agent factory in the article below ↓

Trackmind Verified account @0xTrackmind Oct 23

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Trackmind @0xTrackmind 1h

XERJ Reader is insane for document Q&A...

send this prompt to your agent and it stops paying an LLM to read your files. every answer comes back with its exact place in the file

1M questions on a short doc:

GPT-6 Astra: $17,200
Claude Opus 5.5: $6,880
XERJ Reader: $6.50

full cost breakdown per model in the post below ↓

Ivan Novikov Verified account @d0znpp 2h

I've built a new AI model that is not allowed to generate text. Instead, it produces a verifiable program that answers your prompt using the original reference.

XERJ Reader-1 is a neurosymbolic model for working with data. It points to the exact words in your document, writes a small program over them, and exact code computes the answer:

• 20-90x faster
• 10-1,000x cheaper (output tokens free)
• every answer is a program you can replay

The shortest path to automating data work.

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Trackmind @0xTrackmind 2d

this graph engineering paper is f*cking insane

anthropic's engineers wrote down everything they learned building claude's own multi-agent research system, including the 3 rules that finally made their team of agents work.

1 lead agent, 3-5 parallel subagents, 2 copy-paste prompts, all on one page.

set it up tonight and your agents split a big task, work it in parallel and hand back one clean answer, instead of 5 bots doing the same research twice.

the crazy part is everyone thinks multi-agent means "add more agents", while anthropic's early version spawned 50 subagents for a simple question and the fix was a 4-line brief.

full breakdown in the guide below.

Trackmind Verified account @0xTrackmind Oct 23

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Trackmind @0xTrackmind 3d

this grok paper is f*cking insane

it's the exact 25 lines that turn grok from a chatbot into a research agent that searches the web, reads X and checks its own math.

25 lines, 3 tools, 1 API call, all on one page.

run it tonight and get a sourced breakdown of everything X is talking about, instead of scrolling the timeline for 2 hours.

the crazy part is everyone's still asking grok one question at a time, while xAI lets it search, verify and cite on its own in a single request.

full breakdown in the article below.

Trackmind Verified account @0xTrackmind Oct 23

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Trackmind @0xTrackmind 4d

this grok bot paper is f*cking insane

it's the exact setup that turns grok from a reply guy into a team of AI workers running 24/7 on their own cloud computer.

3 bots, 1 group chat, every approval setting, all on one page.

set it up tonight and wake up to researched ideas, drafted posts and a cleared inbox, instead of starting every morning from zero.

the crazy part is everyone's still asking grok "is this true?" under tweets, while xAI quietly gave it a browser, a terminal and a computer that never turns off.

full breakdown in the grok bot guide below.

Trackmind Verified account @0xTrackmind 4d

Grok Bot is getting smarter. Its memory isn't.

It learns your tone, your clients and your rules, then quietly keeps using them long after they stop being true.

In this article, I show you how to fix that. x.com/i/article/2119…
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Trackmind

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