Context

Recent findings show that improving AI performance—like closing the retrieval gap in OpenAI assistants—doesn't always require massive infrastructure overhauls or new identity platforms; sometimes, it just takes better filtering and narrowing the assistant's scope. Given the high cost of building AI solutions in Nigeria, do you think our local developers should focus more on optimizing existing tools with 'smarter' constraints rather than chasing expensive, full-scale infrastructure upgrades? How can we apply these cost-effective 'hacks' to build more efficient local tech products?