Leo ♦️

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Leo ♦️

Leo ♦️

@nichtleoo

Getting rid of bureaucracy with Agents @ https://t.co/ekI0krjouG

Berlin Katılım Aralık 2019
282 Takip Edilen31 Takipçiler
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Leo ♦️
Leo ♦️@nichtleoo·
We built an AI document processing system for Deutsche Verrechnungsstelle AG — one of Germany's largest billing/factoring companies. 2M+ documents processed in the first month. Fully GDPR-compliant. Two-person team from Berlin. Full case study:
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Leo ♦️
Leo ♦️@nichtleoo·
This Claude Code skill that clones any website in one prompt is actually wild. No more screenshot guessing, no more fighting with fonts and spacing. It opens Chrome MCP, pulls real assets and code, then spins up parallel agents to rebuild everything properly. One could build serious production agents with this idea: • Use Opus 4.6 as orchestrator to deeply learn the full vision + docs first (Context7 + websearch) • Spawn parallel subagents with proper research phase + tests • Let Gemini 3.1 in Cursor do the frontend magic (it still finds UI bugs no one else sees) • Finish reliably with GPT-5.4 + Codex autonomous review I'm already running something very similar for my self-hosted OCR agents on Runpod after Mistral doubled the price. The difference in speed and quality is ridiculous. What's the best "one-prompt" agent skill you've seen or built lately?
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Leo ♦️
Leo ♦️@nichtleoo·
Voxtral just dropped and it actually sounds very promising. Low latency, better emotional expressiveness, natural prosody and it seems to handle long-form content much smoother than previous TTS models. This could be a big step for voice-enabled agents. One could build really nice experiences like: • Reading out processed documents or reports • Voice-first internal tools • Natural audio summaries from enterprise data I'm especially curious how well it integrates with agent workflows (planning → action → spoken output). Would you use something like Voxtral in production voice features, or are you waiting for more benchmarks first?
Mistral AI@MistralAI

🔊Introducing Voxtral TTS: our new frontier open-weight model for natural, expressive, and ultra-fast text-to-speech 🎭Realistic, emotionally expressive speech. 🌍Supports 9 languages and accurately captures diverse dialects. ⚡Very low latency for time-to-first-audio. 🔄Easily adaptable to new voices

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Leo ♦️
Leo ♦️@nichtleoo·
This AI-native UI tool (Tenor) + Claude Code is a big deal. Skip Figma, build real components directly, send them into your codebase. Regenerate from screenshots. Best design-to-code workflow you're using right now?
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Leo ♦️
Leo ♦️@nichtleoo·
This is exactly why single-model workflows are getting outdated. Guy rebuilds an entire app from a video in under a minute using Grok for requirements + Claude Code in Plan Mode. Insane speed. One could build serious enterprise agents with this approach: - Use Opus 4.6 as orchestrator to deeply learn the vision + docs first - Spawn parallel subagents with proper research + tests - Let Gemini handle the frontend glow-up - Finish reliably with GPT-5.4 + Codex review I’m already doing something very similar for my self-hosted OCR agents on Runpod. The multiplier when models play to their strengths is ridiculous. What’s the craziest “one-prompt rebuild” you’ve seen lately?
Wayne Culbreth@wayne_culbreth

Your one-minute clock starts now. Prompt 1 to Grok: "Review the video in the post. Create a detailed project requirements document to exactly recreate the app in the video" - about 15 seconds of typing Prompt 2 to Claude Code: "Go into planning mode and create a detailed plan to implement the app described in the attached PRD" - about 15 seconds of typing. Although I did have to come back and type "1" to give it permission to execute the plan. Prompt 3 to Claude Code: "Push this to a public repo." - about 5 seconds of typing All coding about 60 seconds of my time. The longest part was trying to figure out how to screen capture a video with system audio. That flummoxed me for three to four minutes. github.com/magnum6actual/…

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Devin
Devin@Devinbuild·
Which tool actually helps you? - Claude Code - Cursor - OpenClaw - VScode
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Leo ♦️
Leo ♦️@nichtleoo·
@TeeDevh too much overhead Gotta get things done and that (whilst fun) is just another distraction
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Vu.
Vu.@TeeDevh·
Why do people still use Vercel? You can just buy a $5 VPS on Hetzner and run everything yourself. More control. Lower cost. More responsibility 🤔
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Arlan
Arlan@arlanr·
my engineer is running openclaw on his raspberry pi 💀
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Tushar Kapil
Tushar Kapil@TusharKapil003·
Drop your best website. I’m gonna rate it.
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Sayan
Sayan@thesayannayak·
What problem does your product solve? Drop the link.
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Noah
Noah@NoahKingJr·
TELL ME SOMETHING YOU CAN DO THAT CLAUDE CANNOT
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Leo ♦️
Leo ♦️@nichtleoo·
@hthieblot @nichtleoo (me lol) and @Luuuca78 are getting rid of bureaucracy right now by building MandantLink (automates german tax lawyers) powered by our own framework Agent-2 (fastapi for openclaw style agents) We processed over 2 million documents so far! x.com/nichtleoo/stat…
Leo ♦️@nichtleoo

We built an AI document processing system for Deutsche Verrechnungsstelle AG — one of Germany's largest billing/factoring companies. 2M+ documents processed in the first month. Fully GDPR-compliant. Two-person team from Berlin. Full case study:

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Hubert Thieblot
Hubert Thieblot@hthieblot·
Drop or tag an underrated builder/founder who deserves way more attention. If it’s you, self-tag, no shame.
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Leo ♦️
Leo ♦️@nichtleoo·
@thekitze honestly the timing is suspicious. every time claude ships something big openai drops a reorg or a new model announcement within 48 hours. at this point im convinced they have a slack alert for anthropic blog posts. curious which agent setup you're running day to day?
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kitze 🛠️ tinkerer.club
claude code is shipping so hard right now that openai started restructuring 💀
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Leo ♦️
Leo ♦️@nichtleoo·
@enunomaduro the chunk size is everything. too granular and you waste time prompting. too vague and it hallucinates. we landed on 3 to 5 step plans before each session, changed everything. do you prescribe the plan or let the model break it down?
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nunomaduro
nunomaduro@enunomaduro·
your experience with claude code (or any AI model really) changes a lot when you build things step by step instead of asking for everything at once.. this is where most people struggle when they say AI doesn’t work well for them.. build things incrementally and guide the agent: that’s basically what real software engineering is turning into..
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Leo ♦️
Leo ♦️@nichtleoo·
I’ve consumed so much AI-generated text that I’ve started writing like one The slop is contagious —
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factorydoge
factorydoge@factorydoge69·
claude confirm all my pre existing cognitive biases and amplify them by sycophantically agreeing with all my ideas. make no mistakes.
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Leo ♦️
Leo ♦️@nichtleoo·
This, and if it's able to fit in the same context window (which is a million tokens for Opus) would be a game changer. That is because Opus right now can actually learn stuff and keep it in context without forgetting easily. The model itself also wants to learn more from the context. I observe that GPT-5.4 sometimes rejects external sources a bit.
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Angel 🌼
Angel 🌼@Angaisb_·
If OpenAI keeps doing monthly updates, we could get GPT-5.5 next week (or the week after) I don't need it to be smarter or faster, I just need it to be good at frontend design
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Leo ♦️
Leo ♦️@nichtleoo·
I don't know if anyone pays this close attention or is actually building something cool and using the Google Workspace for Business thingy. As an example it's super cool that the Gemini assistant in Google meets also does to-dos so it understands the meeting itself, creates a summary, and then does to-dos like who needs to do what next. It's super super impressive. The first version was was debatable (in terms of quality) but the version right now I don't know what else I can wish for to be honest.
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Leo ♦️
Leo ♦️@nichtleoo·
The Gemini summaries and transcripts are also super fucking impressive. Can only recommend! It's a game changer if you wanna let a LLM know the context of a meeting and talk with it about it. You can just give it the Google Docs that the Gemini listener generated and then it automatically knows all about the meeting
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