A privacy-first agent that thinks ahead on your behalf.

Joined March 2023
Forethink retweeted
Great to be part of this #RustNYC panel — the Rust community keeps growing. I wrote up my full thesis on why Rust's strictness is exactly what makes it easy for AI agents: medium.com/@ashbenen/the-com…
A phenomenal turnout at today's #RustNYC! Thank you Nominal for being such generous hosts 🤩
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Digital fragmentation isn't just a UX problem — it's rewiring our cognition. Every context switch taxes our attention, hampering intention. 1/4
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Replying to @jessmartin @Related
Gotta hear more about your use case, but that’s something we do with @ForethinkAI Can you give an example of the @ tagging use case? Like “@ COMPANY NAME” or “@ PROJECT NAME” type thing?
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Replying to @mathemagic1an
You can do this with a few extensions I know of including @ForethinkAI (mine), "Voila", and @getpieces
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Despite having limited experience with PDF tech, I managed to build a fast, WASM-compatible text extractor by integrating o1 into my Cursor workflow in just 3 hours! The result is efficient and produces code that's bespoke to the needs of my project (clarity vs speed). 🦀⚡️ #RustLang #WebAssembly #AI #PDFExtraction #Programming
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Replying to @jansenniklas
A little bit of both with @ForethinkAI We're building a sort of predictive AI for preparing for tasks and staying on top of multiple projects easily
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Replying to @Wattenberger
I want something like this for our browser history timeline at @ForethinkAI As the day moves forward, you get a rear view look at slowly congealing tasks and themes representing the topics and tasks you were engaged with
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After a month of rebuilding the @ForethinkAI meeting preparation to work more like @cursor_ai, we spent the day refreshing our graphics and copy and preparing a new release (still pending approval)
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It's never required to continue improving our internal AI-prompt editor, but it's just really fun. Updates from tonight allows us to: 1. preview all placeholders provided from code in context 2. click [⦿] to open your editor to the code (we already have 🤖 buttons to open to the AI execution)
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demos for "SoTA RAG" be like
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Agreed! This is exactly the conclusion we came to for @ForethinkAI's in-house prompt editor. But, being built into the product means we can easily work with real data while doing our prompt engineering.
IMO next step for LLM APIs is prompt templating. Claude in particular has clearly realized that meta-prompting is a winning strategy, as well as baking in evaluations into its playground. But the big dog alpha is to do real-time prompt optimization, and this must be done with prompt templates.
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We're building an advanced prompt editor directly into @ForethinkAI's dev build. Here's why👇
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Replying to @labenz @natfriedman
That sounds like the direction of my company @ForethinkAI - browsing history organized by AI and asking questions about recent browsing history (my little work in progress, here)
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