@ShubhamInTech every ‘failed’ agent convo is basically product research in a support ticket costume. teams mining those transcripts are gonna compound fast
The real hack:
Before sharing an AI artifact, assume Google can find it.
Audit old public links. Remove anything sensitive. And don’t put customer or employee data into a “temporary” share page.
The internet has a very long memory.
Found a slightly terrifying Claude “growth hack”:
Google:
site:https://t.co/PxPlofDviL “your keyword”
It surfaces public Claude artifacts people may have forgotten were public.
Useful for research. Also a good reminder that “shared” and “private” are not synonyms.
What you can find ranges from genuinely useful—internal tools, prompts and strategy docs—to things that probably shouldn’t be indexed at all: CRM exports, financial models and personal trackers.
2026 AI:
- can book a flight and pay for it
- still puts a login wall in front of account recovery
The customer service moat won’t be “sounds human.”
It’ll be “doesn’t trap the customer in a smarter loop.”
Intelligence is abundant. Ownership isn’t.
AI agents are getting so good at doing the work, fr. But I think the hardest part is making them sound less like AI... The real product isn’t the one that answers the call. It’s the one people actually want to talk to. What do you think?
I’ve spoken with lots of people about voice agents. Everyone is impressed when one answers correctly.
Then production hits: noise, interruptions, accents, transfers...
A demo proves it can talk. Production proves it can work.
What broke first when yours reached production?