Does anyone remember back in the day when there was an AI called Amy that people would cc to an email to help with scheduling? What ever happened to that company? Are they still around?
@howietl This is the future of business software. Powerful beneath the surface, but elegant and simple to use. Easy for teams to customize with nearly zero effort while also ensuring safeguards are in place. From here, the next step is clear to see: autonomous self-improving apps!! โฅ๏ธ
Really excited to launch this today!!
This represents the second of two ways in which we're disrupting ourselves with AI. The first, which we launched in March, was about making Airtable the easiest way to deploy the leading LLMs into departmental data and workflows.
The second, today's launch, is about using AI to *build* apps.
AI app-building will radically tilt the "build custom app vs buy prebuilt solution" equation in favor of the former.
Traditional enterprise software development is expensive and slow, but its even greater problem is the disconnect that results between the software developers building an app and the business stakeholders who need the app.
The entire founding premise of Airtable and the no code category we pioneered is to enable the people closest to their own business context and requirements to build the apps they need, and to easily change them as the requirements evolve. Especially in industries and functions undergoing a high rate of transformation (eg media, tech, retail, finserv), this approach is critical for companies to stand up the operations they need to adapt and execute on this new era. For instance, retailers spinning up digital commerce operations and the resultant omnichannel approach marketing. Or media companies building up their streaming operations and overall accelerating their pace and volume of content production, as well as marketing operations.
The magic of applying AI to the app building problem is that modern LLMs already come pretrained with an understanding of these industry dynamics and the rough shape of the operations needed to execute in this era. And can be guided to combine that context with the more specific requirements of a business unit owner to instantly generate a useful, highly specific app.
Best of all, when the app is generated as a no code app, all of its data, logic, and interface structure are made easily understood and directly manipulable by the customer. Unlike with AI-generated software code, which is understandable/inspectable/editable only by developers.
That's why we're calling it Cobuilder. The best way to leverage LLMs to build applications for a business use case is to bring the AI generation and human user as close together as possible, with no code as the common language between them.
My cofounder @aofstad will remember my decade-ago ruminations about a future in which you could โtalk to Airtable to have it build your app.โ A decade and 50M+ Airtable apps laterโฆ this is by far the biggest accelerant to deliver on that mission.
To the entire community of team members, customers, and Airtable builders that have gotten us here, thank you. And I couldn't be more excited to join together on the next decade ahead!
Try it here! We even allow you to generate an app pre-signup : )
https://t.co/iTKSCgoW0q
Do you think when @jimseven stays at a friendโs house they serve him drip coffee with pre-ground in the morning? Coffee mate hazelnut creamer on the table. Here ya go mate! ๐คฃ
@davecyen Just played with the conversation mode. I wonder if they will enable different dialects of Mandarin. Gotta get that Taiwan accent in there. ๐คฃ