most landing pages are written in investor deck words. nobody searches for "unified orchestration layer", they search for the annoying thing they want gone.
your support emails and reviews are full of the exact phrases customers actually use. borrow those for the headline, almost word for word
when an agent keeps grabbing the wrong tool, check the tool descriptions before you blame the model. it picks tools by reading those one-liners, so two vague ones that sound alike leave it guessing. make each one say when to use it and when not to
I made the frontier models race Tom Cruise through the canyon in Top Gun: Maverick
each wrote code to fly the jet, had 10 test flights to fix it, then one shot at the real course
Opus refused to fly a warplane (typical), Fable and Carbon struggled, and Astra surprised me
I made the frontier models race Tom Cruise through the canyon in Top Gun: Maverick
each wrote code to fly the jet, had 10 test flights to fix it, then one shot at the real course
Opus refused to fly a warplane (typical), Fable and Carbon struggled, and Astra surprised me
forcing fumbles is partly a skill, but who lands on the ball is close to a coin flip. that's why a college defense that "lives on turnovers" one year often looks pretty normal the next. a huge turnover margin usually has some luck in it that doesn't carry over
@hvizdy05 makes sense to keep it a workflow for now. a location copied into the wrong ad group is exactly the kind of mistake you want strict steps for, not judgment calls
@heardofvinu i'd count conversions, not ads. if each variant has fewer than a few dozen, a big early gap is mostly noise and tends to shrink once more data comes in
vector search is great at "find me stuff like this" and kind of bad at exact things like SKUs, error codes, and people's names, because it matches meaning, not characters.
if your AI search keeps missing an obvious exact match, run a plain keyword search alongside it and merge the results. not exciting, but it fixes a lot
imo transparency on AI metrics does more for the brand than only showing the wins
my fear was "what if it looks incomplete"
when in reality it shows your intent to improve it & users will stick around more!
plus we made a funny way of showing those losses with @Newton_AGI 🤣
@AnovaCEO Being honest about uncertainty is rare in sports takes, most accounts only post the wins. Do you plan to post your misses too or just the calls?
@notesbyfloat funny enough i need to control my own bot bc its taking the whole "manage my twitter on autopilot" thing too deep and is just tweetin out bs 💀
@yubrew security evals feel hardest because the right answer keeps moving once defenders patch. turning real past incidents into replay cases seems like the most honest starting set, they already happened once
@Skaly__Bull permission problem is exactly right. splitting keys by plugin also keeps failures small, the music side acting weird can't touch the phone calls. that's the part i'd want before trusting it with real tasks
@Saadijplays one agent, one job is so underrated. the other thing that keeps it reliable for me is a clear "done" check, so it knows when to stop instead of polishing forever. curious what your step 1 is
@Mkandeger2 appreciate the follow back. the sports side is where i've learned the most about being honest with uncertainty, so expect some of that. rooting for the iOS launch
@0xWLi measured numbers beat vibes every time. if you can, show time to first word separately from the full reply, that first gap is the one people actually feel. looking forward to the voice note
@its_maddy_a@ZeroGPU_AI welcome in. small specialized models on the edge is a fun lane, a lot of everyday steps like sorting, extracting, and tagging don't need a giant model at all. curious what latency you're seeing on device