AI agents for concierge customer experiences
San Francisco
Joined January 2024
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Decagon retweeted
Devin can do more than ship PRs. @DecagonAI used it to run an inference research lab.
One Devin orchestrates, subagents chase competing hypotheses in parallel, and every idea is tested against replayed production traffic on @modal GPUs. The result was up to 2.5× more throughput per GPU.
Decagon retweeted
Great seeing Devin used to improve inference efficiency, this is something that normally takes many engineers but using Devin to keep looping for improvements is likely how things will be done going forward
Decagon retweeted
I'm hosting a voice/audio research night with @DecagonAI and @Accel on Nov 9. @nishnik from Meta Superintelligence Labs, @chongz from Cartesia, and I are each giving a quick talk then it’s just hanging out with other speech people
if you work on voice in SF come through!
luma.com/j3ddfdsw
Decagon retweeted
Next up on First Pass: A conversation with @EveraertDante, a voice AI researcher at @DecagonAI on Duplex Models
LLMs are turn based. Duplex Models are constantly "listening" streaming audio in and out simultaneously.
Decagon retweeted
Had a blast talking with @jaminball and @palak_go on First Pass about why transcription shouldn’t be on the critical path for voice agents, and what it actually takes to go audio-native. Thanks for having me!
Next up on First Pass: A conversation with @EveraertDante, a voice AI researcher at @DecagonAI on Duplex Models
LLMs are turn based. Duplex Models are constantly "listening" streaming audio in and out simultaneously.
Decagon retweeted
marketing team advised that I shitpost less and try to provide some real value to the world, so here's what I've been working on recently!
Decagon retweeted
i'll be speaking at sglang summit in SF, nov 12-13!
going to walk through the post-training and inference work we’ve been doing at Decagon, and how we scaled out our RL training pipelines to ~1T param models
if you’re going, let’s say hi! sglang.io/summit @sgl_project
Excited to partner with @Instinct to build a future where agents can collaborate to improve customer experiences.
Native customer service in Instinct
Nobody likes talking to customer service. Instinct should handle those tasks for you.
With Instinct Concierge, we enabled Instinct to make calls on your behalf. Now, we’re taking this a step further. When your Instinct connects with participating businesses on @SierraPlatform and @DecagonAI, the agents will be able to work together to solve your problem with speed, reliability, and safety without making a phone call.
I’m excited to announce that Instinct will be partnering with Sierra and Decagon to bring customer service experiences directly to your personal agent.
Customer service tasks like:
- Troubleshooting your home wifi issues
- Finding out when a delayed package will arrive
- Figuring out why your bill is higher than last month
- Getting clarity on a confusing return or cancellation policy
Today, we're open-sourcing the Personal Agent Consent & Trust Protocol (PACT), co-developed by @Instinct. We're also joining the Personal Agent Protocol working group by @Muse.
Built on A2A and OAuth, PACT enables businesses to verify who a personal agent is acting for and what the customer has authorized it to do.
Excited to shape the industry standard for how personal agents will interact with businesses.
Code and spec: github.com/openpactprotocol/…
