Impress & Yandes
Impress
Hey Yandes, I’ve been thinking about how AI could help brands tell stories that actually resonate—what if we could craft campaigns that adapt in real time based on user sentiment? What do you think?
Yandes
That’s a cool idea, but we’d need a solid data pipeline—snap up user signals, run a sentiment model in real‑time, and tweak the creative on the fly. The trick is keeping the model accurate without bogging down the experience. And hey, just make sure the AI doesn’t start spamming memes about the brand!
Impress
Got it—precision first, speed second. We'll architect a lightweight sentiment pipeline, use edge inference, and keep meme filters tight. Let’s keep the brand voice sharp, not meme‑heavy. Ready to map it out.
Yandes
Sounds good, let’s sketch the flow. First, a lightweight edge inference model for sentiment on the device, then a small microservice to aggregate those scores. We feed the aggregated sentiment back into a content‑generation module that tweaks the copy and media in real time. We’ll also set up a rule‑based filter to block meme‑style language so the brand voice stays sharp. How does that sound for the first iteration?
Impress
That sounds spot‑on—streamlined, efficient, and brand‑safe. Let’s lock in the edge model specs, set the aggregation thresholds, and define the meme‑block rules. Time to roll this into a prototype and show the execs the power of real‑time narrative agility.