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@corentAI • 2,991 subscribers

Tokenising compute. The orchestration layer for AI, one execution layer across models, inference and compute.

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We painted the name before we told anyone what it means. On November 1, Corent starts something for builders. A hundred of them, one API.

We painted the name before we told anyone what it means. On November 1, Corent starts something for builders. A hundred of them, one API.

24,902 Aufrufe

Some AI work is quick. A picture usually comes back in the same response. Video is not like that: a clip takes one to five minutes, and nobody should hold a connection open that long and hope. So slow work on Corent works like a deli counter. You take a number. A video request returns straight away with a job id. Then you choose how to wait. Poll the job. Or open its stream and get server-sent events as it changes, with no polling at all. Or pass a webhook URL and the full result is posted to you when it finishes, signed if you give a secret. The part people like most: the charge lands on the job when the video completes, next to the delivered dimensions measured from the stored file. You never pay for a ticket that was not served, and you never have to look up what it cost later. Images can do this too. Ask for async on a slow render and you get the same kind of ticket. Take a number. Get on with your day.

Some AI work is quick. A picture usually comes back in the same response. Video is not like that: a clip takes one to five minutes, and nobody should hold a connection open that long and hope. So slow work on Corent works like a deli counter. You take a number. A video request returns straight away with a job id. Then you choose how to wait. Poll the job. Or open its stream and get server-sent events as it changes, with no polling at all. Or pass a webhook URL and the full result is posted to you when it finishes, signed if you give a secret. The part people like most: the charge lands on the job when the video completes, next to the delivered dimensions measured from the stored file. You never pay for a ticket that was not served, and you never have to look up what it cost later. Images can do this too. Ask for async on a slow render and you get the same kind of ticket. Take a number. Get on with your day.

18,069 Aufrufe

KAI is expanding his team... built with Corent

KAI is expanding his team... built with Corent

11,309 Aufrufe

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Every prompt is a race. Models compete on speed, cost, and intelligence. Corent makes the decision in real time, routing every task to the model best equipped to handle it. No fixed winner. No model loyalty. Just the best execution for every prompt.

Every prompt is a race. Models compete on speed, cost, and intelligence. Corent makes the decision in real time, routing every task to the model best equipped to handle it. No fixed winner. No model loyalty. Just the best execution for every prompt.

106,883 Aufrufe • vor 29 Tagen

Corent’s brain uses TypeSafe AI Jev now. Not to generate the output, to make the decision before the output gets generated. When a request comes into Corent, you don’t need to tell us which model to use. You send the prompt, the workload and the quality level. Then Jev helps us decide what that request actually needs, how confident we are in that decision, and whether we should take the route or fall back to something safer. That matters because every request has different economics. A 2¢ image can tolerate more uncertainty. A $2 video clip cannot. Across 1000+ models, this changes how we route. We can set different confidence requirements depending on the workload, the cost and the quality expected. If the confidence is too low, we stop guessing. Routing was never really a text problem. It was a decision problem. Diogo Almeida and the team did a wonderful job with JEV Get your key at

Corent’s brain uses TypeSafe AI Jev now. Not to generate the output, to make the decision before the output gets generated. When a request comes into Corent, you don’t need to tell us which model to use. You send the prompt, the workload and the quality level. Then Jev helps us decide what that request actually needs, how confident we are in that decision, and whether we should take the route or fall back to something safer. That matters because every request has different economics. A 2¢ image can tolerate more uncertainty. A $2 video clip cannot. Across 1000+ models, this changes how we route. We can set different confidence requirements depending on the workload, the cost and the quality expected. If the confidence is too low, we stop guessing. Routing was never really a text problem. It was a decision problem. Diogo Almeida and the team did a wonderful job with JEV Get your key at

109,900 Aufrufe • vor 1 Monat

Your agents are in safe hands with Corent unified API 1000+ models.

Your agents are in safe hands with Corent unified API 1000+ models.

38,797 Aufrufe • vor 27 Tagen

One key, one bill. Every model.

One key, one bill. Every model.

52,207 Aufrufe • vor 1 Monat

Besides everything else we’re building at Corent, we’re also working closely with traditional companies to restructure how their AI workloads run and significantly reduce their operating costs through our orchestration layer. One key. One integration. Everything handled underneath.

Besides everything else we’re building at Corent, we’re also working closely with traditional companies to restructure how their AI workloads run and significantly reduce their operating costs through our orchestration layer. One key. One integration. Everything handled underneath.

57,211 Aufrufe • vor 1 Monat

Ten models, ten keys, ten bills. with Corent: 1000+ models, one key, one bill.

Ten models, ten keys, ten bills. with Corent: 1000+ models, one key, one bill.

40,051 Aufrufe • vor 1 Monat

Keeping track of who’s the best, that’s a sucker’s game. a model is only good until something else comes better.

Keeping track of who’s the best, that’s a sucker’s game. a model is only good until something else comes better.

51,614 Aufrufe • vor 2 Monaten

Stop betting your app on one AI model. With Corent you're model agnostic: one API, 1000+ models. If one goes down, the next one answers. Your users never notice.

Stop betting your app on one AI model. With Corent you're model agnostic: one API, 1000+ models. If one goes down, the next one answers. Your users never notice.

28,556 Aufrufe • vor 1 Monat

LLMs are moving too fast for developers to keep wiring them in one by one. GPT, Claude, Gemini, Grok, DeepSeek, Kimi, Qwen, Llama and over 1000 other Open Models. Corent gives you access through one key. When the model landscape changes, your integration doesn’t.

LLMs are moving too fast for developers to keep wiring them in one by one. GPT, Claude, Gemini, Grok, DeepSeek, Kimi, Qwen, Llama and over 1000 other Open Models. Corent gives you access through one key. When the model landscape changes, your integration doesn’t.

29,078 Aufrufe • vor 1 Monat

Most AI apps have one runway only. With Corent, you have 1000+

Most AI apps have one runway only. With Corent, you have 1000+

18,583 Aufrufe • vor 1 Monat

Kai didn’t waste his summer. He discovered a gem. Let’s see how far Kai can take it with his new company. just build the goddamn thing.

Kai didn’t waste his summer. He discovered a gem. Let’s see how far Kai can take it with his new company. just build the goddamn thing.

29,821 Aufrufe • vor 2 Monaten

AI is starting to look less like a model race and more like a systems problem. Models are shipping faster, inference is getting cheaper, agents are getting more capable, and compute is becoming its own market. The hard part now is making all of it work together. 🧵

AI is starting to look less like a model race and more like a systems problem. Models are shipping faster, inference is getting cheaper, agents are getting more capable, and compute is becoming its own market. The hard part now is making all of it work together. 🧵

24,861 Aufrufe • vor 2 Monaten

Never was more easier to build than now.

Never was more easier to build than now.

12,895 Aufrufe • vor 1 Monat

If a result falls below the quality floor, you don’t pay for it. Corent should only bill for outputs that actually meet the execution standard. Bad output shouldn’t become the client's problem.

If a result falls below the quality floor, you don’t pay for it. Corent should only bill for outputs that actually meet the execution standard. Bad output shouldn’t become the client's problem.

15,708 Aufrufe • vor 2 Monaten

Every model we serve is quality-scored and benchmarked before it enters our orchestration layer. From there, Corent selects the best execution path based on quality, price and speed. Same output quality, but with an average cost reduction of around 50%. That’s what orchestration should do.

Every model we serve is quality-scored and benchmarked before it enters our orchestration layer. From there, Corent selects the best execution path based on quality, price and speed. Same output quality, but with an average cost reduction of around 50%. That’s what orchestration should do.

14,228 Aufrufe • vor 2 Monaten

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