Uploaded April 2026 | Updated September 2026, 3 weeks ago
Dylan Fox was on stage at HumanX this week, and shared how we think about building at AssemblyAI.
"You always find new things once you go live."
No matter how well you plan an AI deployment, the edge cases that actually break things are invisible until real users show up.
The teams getting this right aren't the ones who anticipated every failure mode. They're the ones who built for visibility—good telemetry, tight feedback loops, and the ability to ship a fix fast.
At AssemblyAI, this is how we approach building on every team.
The gap between a struggling AI deployment and a successful one usually isn't the model. It's whether your team can see what's breaking and move quickly enough to do something about it.
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🖥️ Website: assemblyai.com
🐦 Twitter: twitter.com/AssemblyAI
▶️ Subscribe: youtube.com/c/AssemblyAI?sub_confirmation=1
🔥 We're hiring! Check our open roles: assemblyai.com/careers
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#MachineLearning #DeepLearning #humanx
Dylan Fox was on stage at HumanX this week, and shared how we think about building at AssemblyAI.
"You always find new things once you go live."
No matter how well you plan an AI deployment, the edge cases that actually break things are invisible until real users show up.
The teams getting this right aren't the ones who anticipated every failure mode. They're the ones who built for visibility—good telemetry, tight feedback loops, and the ability to ship a fix fast.
At AssemblyAI, this is how we approach building on every team.
The gap between a struggling AI deployment and a successful one usually isn't the model. It's whether your team can see what's breaking and move quickly enough to do something about it.
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬
🖥️ Website: assemblyai.com
🐦 Twitter: twitter.com/AssemblyAI
▶️ Subscribe: youtube.com/c/AssemblyAI?sub_confirmation=1
🔥 We're hiring! Check our open roles: assemblyai.com/careers
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
#MachineLearning #DeepLearning #humanx










