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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 views

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 views

KAI is expanding his team... built with Corent

KAI is expanding his team... built with Corent

11,309 views

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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.
0:26
corentAI's profile picture

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.

corent

106,883 views • 29 days ago

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
0:38
corentAI's profile picture

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

109,900 views • 1 month ago

Your agents are in safe hands with Corent unified API 1000+ models.
0:27
corentAI's profile picture

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

corent

38,797 views • 27 days ago

One key, one bill. Every model.
0:32
corentAI's profile picture

One key, one bill. Every model.

corent

52,207 views • 1 month ago

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.
0:32
corentAI's profile picture

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.

corent

57,211 views • 1 month ago

Ten models, ten keys, ten bills. with Corent: 1000+ models, one key, one bill.
0:29
corentAI's profile picture

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

corent

40,051 views • 1 month ago

Keeping track of who’s the best, that’s a sucker’s game. a model is only good until something else comes better.
0:49
corentAI's profile picture

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

corent

51,614 views • 2 months ago

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.
0:26
corentAI's profile picture

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.

corent

28,556 views • 1 month ago

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.
0:40
corentAI's profile picture

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.

corent

29,078 views • 1 month ago

Most AI apps have one runway only. With Corent, you have 1000+
0:29
corentAI's profile picture

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

corent

18,583 views • 1 month ago

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.
0:53
corentAI's profile picture

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.

corent

29,821 views • 2 months ago

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. 🧵
0:23
corentAI's profile picture

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. 🧵

corent

24,861 views • 2 months ago

Never was more easier to build than now.
0:35
corentAI's profile picture

Never was more easier to build than now.

corent

12,895 views • 1 month ago

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.
0:24
corentAI's profile picture

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.

corent

15,708 views • 2 months ago

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.
0:30
corentAI's profile picture

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.

corent

14,228 views • 2 months ago

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