@jess__yan Thanks for sharing. My work has evolved similarly. One of the agents we’ve built is a branding agent that helps get the prototypes I build to high fidelity in alignment with design and brand standards
@Saboo_Shubham_ Good read, thanks for writing. I do something pretty similar, I use three agents in cursor to spin up different versions of a prototype. Love their multi-agent feature, so fast and super helpful in identifying edge cases/fleshing out solutions
@rahulgs@rickasaurus Agreed, fuzzy search is fine in non-crit spots, no real reason to fixate guardrails. I've experienced embeddings hallucinating connections in specific domains so I try to have my teams be more vigilant. I find top-k includes drifts / misaligned “relevance” with semantic search
@rahulgs@rickasaurus I’m a proponent of semantic search via embeddings too but question whether topk is the right metric to look at without considering guardrails
11/17 The only framework that works consistently:
1. What problem are we solving?
2. For who specifically?
3. How will we know it worked?
4. What's the simplest version?
5. What could go wrong?
12/16 The best "roadmaps" I've seen:
3 months: Specific commitments
6 months: General direction
12 months: Strategic themes
The further out, the vaguer it gets. That's honest planning.
@reidhoffman Think it’s a mixture of bloodbath and enablement. AI is currently great at reducing manual workflows but it’s tough to exceed that. Manual work should be reduced. Creative, strategic work will hopefully be the forefront of human labor