What do startups need to know about building AI for enterprise? Here's 5 lessons from @linear, @Sourcegraph, @chatprd and @jamdotdev – at Enterprise Ready Conf:
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Trust is #1 moat in AI A lot of trust is broken when enterprises try new AI workflows, and they actually slow down productivity. "We have responsibility as the people building these tools to make sure we get it right."
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Long enterprise pilots create confusion When an enterprise buyer says "we want to run a four month evaluation…" ...it’s hilarious how much changes in AI in that time.
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AI productivity measured via metrics + vibes Of course you can't show productivity gains without metrics. But vibes matter too. Don't skip the before/after surveys.
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Ads are back?! Free is a powerful tool for building trust, and getting more people to try. Ads allow you to make otherwise expensive workflows free. @Sourcegraph just launched an ad-supported free coding agent, so far – "demand is off the charts!"
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All this said, at the end of the day, without a great product, nothing else matters. And there's no shortcut to the hard work it takes to build a great product. Really fun to jam with @clairevo, @cjc and @sqs, thanks @WorkOS for having us!

Oct 23, 2025 · 4:54 PM UTC

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