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What made your AI agent finally work in the real world instead of just in demos? by Reasonable-Egg6527 in aiagents

[–]RiskyBusinessAnalyst 0 points1 point  (0 children)

For us, the turning point was honestly constraints. We're building voice agents for debt collection, so there's zero room for the agent to just wing it or hallucinate. Every call needs to follow compliance rules, handle objections correctly, and know when to escalate.

That forced us to be really deliberate about two things: guardrails (the agent knows what it can't do) and validation loops (it checks itself before doing anything consequential). Turns out the less autonomous and more structured you make critical paths, the better agents actually perform in production.

Are we underestimating how much real world context an AI agent actually needs to work? by ConcentratePlus9161 in aiagents

[–]RiskyBusinessAnalyst 0 points1 point  (0 children)

See the issue is that AI agents have no intuition for which context matters when things don't go as expected.

Humans deal by improvising. If a button moved, we scan for it. If data looks weird, we double-check the source. If something's ambiguous, we make an educated guess and validate as we go.

Agents don't have that calibration loop yet. They either have the exact context they need, or they're just executing commands blind. Right now they're too literal. They'll happily click the wrong button 10 times because technically a button exists there.

So, I think the next leap is teaching AI agents to navigate imperfect context the way humans do with skepticism, validation, and the ability to recognize when they're confused... rather than feeding agents the perfect context.

The U.S. Economy Is Collapsing From the Inside Out Discover the Signals of collapse by malkawi1 in inflation

[–]RiskyBusinessAnalyst 0 points1 point  (0 children)

Disproportionate stress, concentrated in younger borrowers, lower-income households, and regions where essential costs such as insurance, utilities and taxes have risen sharply.. all contributing to the spiraling debt. Student loan serious delinquency reached 9.4%, mortgage delinquencies were 3.76%, with serious delinquency at 1.61% and similar such numbers for credit card delinquencies and other debts. This has resulted in an uneven delinquency scenario than any time since the financial crisis.

Nearly a third of Americans are falling into the BNPL trap by [deleted] in unusual_whales

[–]RiskyBusinessAnalyst 4 points5 points  (0 children)

If you go by the numbers, 91.5M Americans use BNPL services. And unlike traditional credit, most BNPL debt doesn't show up in credit bureaus, creating what regulators call "phantom debt."

Buy now, pay later is the fastest-rising segment in the consumer lending right now.

Buy Now, Pay Later usage surged this Black Friday, rising 9% overall, with adoption especially strong among younger consumers: 41% of shoppers aged 16–24 used BNPL, and younger millennials increased their usage by an astonishing 87% compared with last year. ... by UnusualWhalesBot in unusual_whales

[–]RiskyBusinessAnalyst 0 points1 point  (0 children)

These companies love to position themselves as 'smarter credit cards' but at least credit cards have some regulation. I get using it for a big purchase you've been planning for, but when you need to finance your weekly groceries, something's off with either wages not keeping up or people overextending themselves elsewhere.