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Introducing Composer — the first AI Agent for document processing. Get to production-grade accuracy, autonomously in minutes. In our early beta, some teams hit 99% accuracy on complex document tasks in under 10 minutes. Composer is an agent built to optimize schemas the same way a human would (but...

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Kushal Byatnal

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75,008 görüntüleme • 8 ay önce •via X (Twitter)

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Today, we’re excited to announce Deep Extract. We’re pushing the boundary of complex document extraction by utilizing an agent harness approach, iterating and verifying outputs until they are at human-level accuracy. The results speak for themselves: we’ve handled documents exceeding 2,500 pages, extracting a total of 30M+ fields in the last couple weeks with results in our production beta reaching 99-100% accuracy. It’s particularly effective on complex documents with long lists, such as invoice line items, brokerage statement transactions, equipment manifests, and more. See more on how we built it, how to use it, and more👇
0:59

Today, we’re excited to announce Deep Extract. We’re pushing the boundary of complex document extraction by utilizing an agent harness approach, iterating and verifying outputs until they are at human-level accuracy. The results speak for themselves: we’ve handled documents exceeding 2,500 pages, extracting a total of 30M+ fields in the last couple weeks with results in our production beta reaching 99-100% accuracy. It’s particularly effective on complex documents with long lists, such as invoice line items, brokerage statement transactions, equipment manifests, and more. See more on how we built it, how to use it, and more👇

Reducto

23,948,776 görüntüleme • 2 ay önce

Over 1 billion PDFs are created every day, but your agents still can’t read them reliably. Today we’re releasing Parse 2.0, the most accurate document parsing API in the world. Extend already processes millions of pages daily for leading AI teams like Brex, Mercury, Opendoor, Flatiron Health, and hundreds of others. Now, its even better. Parse 2.0 is SOTA quality on RealDoc-Bench, our open source benchmark that measures agent success rate on real world docs that agents actually encounter in production. We trained Parse 2.0 on 1M+ pages of the hardest documents seen in production. Here’s how it stacks up: - #1 in healthcare, real estate, logistics, and financial services - 95.7% agent Q&A accuracy on 581 docs (next best: 92%) - 0.847 F1 on layout (next best: 0.759) Give it a try today and build production-ready document agents with Extend.
1:32

Over 1 billion PDFs are created every day, but your agents still can’t read them reliably. Today we’re releasing Parse 2.0, the most accurate document parsing API in the world. Extend already processes millions of pages daily for leading AI teams like Brex, Mercury, Opendoor, Flatiron Health, and hundreds of others. Now, its even better. Parse 2.0 is SOTA quality on RealDoc-Bench, our open source benchmark that measures agent success rate on real world docs that agents actually encounter in production. We trained Parse 2.0 on 1M+ pages of the hardest documents seen in production. Here’s how it stacks up: - #1 in healthcare, real estate, logistics, and financial services - 95.7% agent Q&A accuracy on 581 docs (next best: 92%) - 0.847 F1 on layout (next best: 0.759) Give it a try today and build production-ready document agents with Extend.

Kushal Byatnal

575,766 görüntüleme • 14 gün önce

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!
0:58

We built an AI agent that lets you vibe-code document extraction - high accuracy and citations over the most complex documents. Our latest release lets you upload documents as context. All you then have to do is describe what you want extracted in natural language. 💡 Our agent will then read the document with file tools to infer the right schema, validation rules, and other pre/postprocessing logic. ✅ It will give you back a workflow that can extract over thousands/millions of documents at scale. You can still of course review and edit every output before approving. Stop handling paperwork manually; just upload files, describe your task, and let our agent handle the rest. Our vision for LlamaAgents is to provide the most advanced and easy-to-use way for you to orchestrate document work. Walkthrough: Check it out: If you’re interested in reducing the operational burden of document extraction (invoices, claims, onboarding forms), come talk to us!

Jerry Liu

20,857 görüntüleme • 3 ay önce

Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so you can get your real work done. Here's how we solved the AI context problem for hard engineering tasks (like rocket science 🚀) 🧵
2:19

Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so you can get your real work done. Here's how we solved the AI context problem for hard engineering tasks (like rocket science 🚀) 🧵

Contextual AI

1,552,186 görüntüleme • 4 ay önce

TestSprite 3.0 is live. A fleet of parallel AI agents that use your app like real users — in minutes. This is the release we've been building all year. The numbers tell the story of our completely overhauled engine: - Accuracy jumped by nearly 40% on the hardest, most complex projects. - Coverage increased significantly across the board for every E2E run. - Reliability is locked in—stable and consistent across multiple runs. We rebuilt our entire engine around these performance gains so you can ship fast and ship confident.
4:37

TestSprite 3.0 is live. A fleet of parallel AI agents that use your app like real users — in minutes. This is the release we've been building all year. The numbers tell the story of our completely overhauled engine: - Accuracy jumped by nearly 40% on the hardest, most complex projects. - Coverage increased significantly across the board for every E2E run. - Reliability is locked in—stable and consistent across multiple runs. We rebuilt our entire engine around these performance gains so you can ship fast and ship confident.

TestSprite

812,663 görüntüleme • 18 gün önce

soon you're going to be able to have AI autonomously build apps for you, with no human in the loop. me, someone who can't code, can make an app with - Claude Computer Agent, that controls Cursor - clones a github repo - opens composer in agent mode - and prompts it with an app idea - and then waits for the Cursor Agent to finish Then I prompted that agent to test the app! (template @senior_swc)
1:34

soon you're going to be able to have AI autonomously build apps for you, with no human in the loop. me, someone who can't code, can make an app with - Claude Computer Agent, that controls Cursor - clones a github repo - opens composer in agent mode - and prompts it with an app idea - and then waits for the Cursor Agent to finish Then I prompted that agent to test the app! (template @senior_swc)

Riley Brown

48,960 görüntüleme • 1 yıl önce

With the Cursor SDK, you can build your own agents with Composer 2.5. It's now available in Python and TypeScript. This long weekend, Composer usage is 90% off in the SDK. We're excited to see what you build!
0:25

With the Cursor SDK, you can build your own agents with Composer 2.5. It's now available in Python and TypeScript. This long weekend, Composer usage is 90% off in the SDK. We're excited to see what you build!

Cursor

579,912 görüntüleme • 18 gün önce

Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.
0:45

Introducing Parrot 🦜 Our first speech-to-text model built for production-grade voice agents with an industry leading accuracy, built for noisy calls, regional dialects and compressed audio. Trained on thousands of hours of real-world audio to make sure when you say Udaipur, the agent doesn't hear 'you-die-poor'.

Vedant

15,426 görüntüleme • 15 gün önce

Audio Transcription with Google Gemini 1.5 Flash In this video, Gemini-Flash was able to transcribe 13 minutes of audio in 50-60 seconds. I have tested this with multiple audio files, and the transcription accuracy is close to 99%. If the audio is clear, you get 100% correct transcription. Even if the audio is really bad with a lot of noise, you still get around 95-96% accuracy. The code for this is available on GitHub. If you're interested, you can download and run it. You just need a Google API key.
0:33

Audio Transcription with Google Gemini 1.5 Flash In this video, Gemini-Flash was able to transcribe 13 minutes of audio in 50-60 seconds. I have tested this with multiple audio files, and the transcription accuracy is close to 99%. If the audio is clear, you get 100% correct transcription. Even if the audio is really bad with a lot of noise, you still get around 95-96% accuracy. The code for this is available on GitHub. If you're interested, you can download and run it. You just need a Google API key.

AshutoshShrivastava

122,977 görüntüleme • 1 yıl önce

Heartwarming: This Israeli-American composer gives a live piano performance in an airport for passerby on their way to the Caribbean Repost if you have been touched by him
0:20

Heartwarming: This Israeli-American composer gives a live piano performance in an airport for passerby on their way to the Caribbean Repost if you have been touched by him

Rush Ganyu

242,958 görüntüleme • 1 ay önce

hahahaha deepseek is basically FREE! lets extract and analyze... will no longer need "content hook ideas" just yap your idea and our agent will create 50 options based on the best hooks in the world. coming to @yapthread composer ... soon.
0:36

hahahaha deepseek is basically FREE! lets extract and analyze... will no longer need "content hook ideas" just yap your idea and our agent will create 50 options based on the best hooks in the world. coming to @yapthread composer ... soon.

Riley Brown

62,926 görüntüleme • 1 yıl önce

Josh Allen’s accuracy is borderline ROBOTIC at this point. Allen reportedly hit 7 nets IN A ROW at practice today. As a prospect, multiple NFL scouts tabbed Allen’s accuracy as his “biggest” red flag. Even as a rookie, Allen was one of least accurate passers in the league. Now, he’s arguably Top-5 in accuracy amongst all QB’s in the league. The Bills put on an absolute CLINIC in QB development with Allen 😳
0:27

Josh Allen’s accuracy is borderline ROBOTIC at this point. Allen reportedly hit 7 nets IN A ROW at practice today. As a prospect, multiple NFL scouts tabbed Allen’s accuracy as his “biggest” red flag. Even as a rookie, Allen was one of least accurate passers in the league. Now, he’s arguably Top-5 in accuracy amongst all QB’s in the league. The Bills put on an absolute CLINIC in QB development with Allen 😳

Rookie Watch

352,185 görüntüleme • 8 ay önce

Composer: Okay, so what did you have in mind for the back-up sound? Honda: I want an SATB chorus singing a chord that will please the lord. Composer: you got it.
0:20

Composer: Okay, so what did you have in mind for the back-up sound? Honda: I want an SATB chorus singing a chord that will please the lord. Composer: you got it.

score follower

34,880 görüntüleme • 1 yıl önce

To use MCP in Cursor 1⃣Add an MCP in settings 2⃣In Composer, select "Agent Mode" 3⃣Cursor will run the MCP tool based on your prompt Testing more MCPs — updates and a guide coming soon. Follow me for updates Available MCP servers in comments 👇
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To use MCP in Cursor 1⃣Add an MCP in settings 2⃣In Composer, select "Agent Mode" 3⃣Cursor will run the MCP tool based on your prompt Testing more MCPs — updates and a guide coming soon. Follow me for updates Available MCP servers in comments 👇

Melvin Vivas

68,919 görüntüleme • 1 yıl önce

Did you know that the composer of the famous Game of Thrones soundtrack is Iranian? You are now listening to a cover of this iconic piece on the Iranian Daf, arranged by Reza Sajjadi and the original composer of this music is Ramin Djawadi. ENJOY!
1:20

Did you know that the composer of the famous Game of Thrones soundtrack is Iranian? You are now listening to a cover of this iconic piece on the Iranian Daf, arranged by Reza Sajjadi and the original composer of this music is Ramin Djawadi. ENJOY!

Iran Military Media ☫

158,326 görüntüleme • 3 ay önce

🎙️Introducing Max Agency Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeoffs, evals, and everything in between. Each episode, I sit down with engineering leaders who are doing this work in production. Our first episode features Izzy Miller (Izzy), AI Engineer at Hex (Hex). Hex has been shipping data agents since before most teams were even thinking about them, starting with single-cell text-to-SQL and graduating to a full Notebook agent that can work autonomously for 20 minutes on a complex analysis. Izzy has a lot of perspective on what it actually takes to get agents working well in production, and what breaks along the way. A few takeaways from our conversation: - Keep your eval sets small enough to hold in your head: Izzy runs 30-50 handcrafted "traps" with multiple repetitions, rather than hundreds of variants. If you can't explain why your agent fails each one, your eval set is too big - Day zero performance is almost irrelevant: The more interesting question is how the agent compounds. Izzy is building a 90-day simulation where the warehouse evolves and the agent has to accumulate understanding - You can catch agent errors without seeing the raw outputs: By running an LLM-as-a-judge over production usage and clustering the results, you can surface places where something likely went wrong, without needing to read individual conversations Watch the full episode on: - Youtube: - Apple Podcasts: - Spotify:
1:39

🎙️Introducing Max Agency Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeoffs, evals, and everything in between. Each episode, I sit down with engineering leaders who are doing this work in production. Our first episode features Izzy Miller (Izzy), AI Engineer at Hex (Hex). Hex has been shipping data agents since before most teams were even thinking about them, starting with single-cell text-to-SQL and graduating to a full Notebook agent that can work autonomously for 20 minutes on a complex analysis. Izzy has a lot of perspective on what it actually takes to get agents working well in production, and what breaks along the way. A few takeaways from our conversation: - Keep your eval sets small enough to hold in your head: Izzy runs 30-50 handcrafted "traps" with multiple repetitions, rather than hundreds of variants. If you can't explain why your agent fails each one, your eval set is too big - Day zero performance is almost irrelevant: The more interesting question is how the agent compounds. Izzy is building a 90-day simulation where the warehouse evolves and the agent has to accumulate understanding - You can catch agent errors without seeing the raw outputs: By running an LLM-as-a-judge over production usage and clustering the results, you can surface places where something likely went wrong, without needing to read individual conversations Watch the full episode on: - Youtube: - Apple Podcasts: - Spotify:

Harrison Chase

33,348 görüntüleme • 2 ay önce

The 27-disc box set 'Steve Reich Collected Works' is out now on Nonesuch Records. Take a quick look inside in this unboxing video narrated by the composer and pick up a copy at
0:56

The 27-disc box set 'Steve Reich Collected Works' is out now on Nonesuch Records. Take a quick look inside in this unboxing video narrated by the composer and pick up a copy at

Steve Reich

13,499 görüntüleme • 1 yıl önce

Today, we're introducing our document parser built specifically for RAG. The parser combines the best vision, OCR, and vision language models to deliver unmatched accuracy. Try it for free today—the first 500+ pages are on us! 🧵 1/
1:51

Today, we're introducing our document parser built specifically for RAG. The parser combines the best vision, OCR, and vision language models to deliver unmatched accuracy. Try it for free today—the first 500+ pages are on us! 🧵 1/

Douwe Kiela

1,308,495 görüntüleme • 1 yıl önce

Composer is a frontier coding model that completes tasks in under 30 seconds.
0:32

Composer is a frontier coding model that completes tasks in under 30 seconds.

Cursor

445,107 görüntüleme • 7 ay önce

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent
11:34

today we're launching the AI agent stack we built that rocketed us to a $3m AI agent consultancy. we're calling it AgentPress, and it allows you to build production grade AI agents in minutes. here's a video of me creating a sales Q&A agent

Andy Walters

207,205 görüntüleme • 9 ay önce