🚀 Two real use cases. One clear pattern.
When we started building Lateral Teams, we didn’t begin with features or hype.
We began by solving real problems for real teams.
Here are two early use cases that shaped everything we’re building.
The first one comes from Buss Down Chef.
They had a strong product and an engaged community, but their content didn’t reflect the energy of their brand. No street vibe, no culture, just clean product photos. Weekly shoots were expensive and unsustainable.
Using AI as a system (not as a toy), they turned simple product assets into cinematic, on-brand visuals. Same product. Completely different perception. Engagement went up because the content finally matched the identity.
The second case comes from outbound and content workflows.
Most people think personalization is a prompt problem. It isn’t. It’s a data problem.
By structuring data first and then layering AI on top, we helped teams generate messages and content that actually sound researched, relevant and human. Less noise, more real conversations.
Different scenarios. Same lesson:
AI works when there’s a system behind it.
This community exists to build that layer: systems, workflows and thinking that make AI useful in the real world.
Curious to hear from you:
What are you trying to build right now and where do you feel AI still “doesn’t quite work” for you?
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Plato Echezarreta
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🚀 Two real use cases. One clear pattern.
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