[ushakov]

We just launched our AI-based API-Testing tool (https://ai.stepci.com), despite having competitors like GitHub Co-Pilot.

Why? Because they lack specificity. We're domain experts, we know how to prompt it correctly to get the best results for a given domain. The moat is having model do one task extremely well rather than do 100 things "alright"

[parkerhiggins]

Domain specialization could be the moat, not only in the business domain but the sheer cost of deployment/refinement.

Check out Will Bennett's "Small language models and building defensibility" - https://will-bennett.beehiiv.com/p/small-language-models-and... (free email newsletter subscription required)

[vunderba]

If the primary value-proposition for your startup is just customized prompting with OpenAI endpoints, then unfortunately it's highly likely it could be easily replicated using the newly announced concept of GPTs.

[esafak]

If you just launched it is too soon to speak.

[ushakov]

Of course! Today our assumption is that LLMs are commodities and our job is to get the most out of them for the type of problem we're solving (API Testing for us!)

[darkwater]

Sorry to be blunt but they can be totally right, if you do not succeed and have to shut down your startup.

[ushakov]

It certainly will be a fun experience. But our current belief is that LLMs are a commodity and the real value is in (application-specific) products built on top of them.

[Rastonbury]

Exactly, everyone is so pessimistic but for every AWS sku there is a billion dollar startup that leads that market.

[sharemywin]

Time will tell