Latest / Connectivity Without Chaos - The Podcast / When Your AI Budget Starts to Vanish - Why Shared Keys, Frontier Models, and Runaway Jobs Are Destroying Your ROI

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When Your AI Budget Starts to Vanish - Why Shared Keys, Frontier Models, and Runaway Jobs Are Destroying Your ROI · Connectivity Without Chaos - The Podcast

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  SPEAKER_00: Welcome to the Hidden IT Tax Podcast from Provision Networks,
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  SPEAKER_00: where we uncover the costs,
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  SPEAKER_00: risks,
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  SPEAKER_00: and inefficiencies quietly draining your IT budget.
• 0:09
  SPEAKER_00: In each episode,
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  SPEAKER_00: we break down how to replace reactive decisions with engineered,
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  SPEAKER_00: accountable systems.
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  Today,
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  we're diving into surprising ways to reclaim your vanishing AI
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  budget.
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  SPEAKER_00: But I mean,
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  SPEAKER_00: imagine waking up on a Monday morning,
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  grabbing your coffee and discovering that a single automated
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  script burned through
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  SPEAKER_00: $50,000 of your IT budget over the weekend.
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  SPEAKER_01: Oh, wow.
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  SPEAKER_01: Yeah.
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  SPEAKER_01: All because someone just, you know, shared an internal access key.
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  SPEAKER_00: Exactly.
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  SPEAKER_00: It sounds like an absolute nightmare.
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  SPEAKER_01: It is.
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  But honestly,
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  for a lot of organizations,
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  that's just the current reality.
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  SPEAKER_01: We're very much living in this like move fast, pay later era of AI.
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  SPEAKER_00: Oh, definitely.
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  SPEAKER_00: Yeah.
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  So the mission for our deep dive today is to help you
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  transition out of that
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  SPEAKER_01: chaotic experimental phase.
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  SPEAKER_01: We want you to establish a measurable return on your AI investments.
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  Right,
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  which really starts by eliminating all that unmonitored shadow
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  spend.
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  SPEAKER_00: And that shadow spend,
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  SPEAKER_00: well,
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  SPEAKER_00: it usually stems from what we call the visibility vacuum,
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  SPEAKER_00: doesn't it?
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  SPEAKER_01: Yeah, exactly.
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  A department wants to use AI,
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  so IT just hands out a shared universal API key to the whole
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  team.
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  It's literally like handing a single corporate credit card to
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  the entire office.
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  SPEAKER_01: Yes, it really is.
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  SPEAKER_00: And then at the end of the month, the bill just says stuff.
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  SPEAKER_00: And you have absolutely no idea if that enormous invoice was from,
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  SPEAKER_00: you know,
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  a critical machine learning pipeline or just an intern doing
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  basic email triage.
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  SPEAKER_01: Which means you can't calculate ROI at all.
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  SPEAKER_01: Because you lack that fundamental baseline of who's doing what.
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  SPEAKER_00: Right.
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  SPEAKER_00: You're just completely flying blind.
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  SPEAKER_01: Exactly.
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  And this visibility vacuum inherently drives up costs due to
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  basic human behavior.
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  SPEAKER_01: I mean, without specific guardrails, employees naturally
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  SPEAKER_01: Okay, well, let's unpack this for a second.
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  Because if an employee reaches for the absolute best tool
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  available to get their
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  SPEAKER_01: job done,
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  SPEAKER_01: I mean,
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  SPEAKER_01: that's just a rational choice.
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  SPEAKER_01: Sure, absolutely.
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  SPEAKER_01: So if I'm building a system,
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  how do I stop that behavior without becoming the department of
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  no and completely
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  SPEAKER_00: grinding their workflow to a halt?
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  Well,
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  you solve it by decoupling the technical usage from the
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  financial risk.
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  And this is the core concept behind the provision network's
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  identity-driven AI
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  SPEAKER_01: gateway,
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  SPEAKER_01: which we call the framework.
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  SPEAKER_00: Okay, so how does the framework actually do that?
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  So CFOs don't manage budgets in abstract technical metrics like
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  token counts.
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  SPEAKER_01: They manage actual dollars.
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  So this gateway allows administrators to set hard financial
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  caps in dollars.
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  SPEAKER_00: Oh, wow.
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  SPEAKER_00: Okay.
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  Yeah,
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  you can implement rolling time windows,
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  for example,
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  where a budget dynamically adjusts.
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  That prevents that rogue automated job you mentioned earlier
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  from just draining a
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  SPEAKER_01: month's worth of funds in two days.
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  SPEAKER_00: Yeah, that makes total sense.
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  SPEAKER_00: But to enforce a dollar limit per person,
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  SPEAKER_00: the system has to actually know who is making the request,
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  SPEAKER_00: right?
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  SPEAKER_00: Right.
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  SPEAKER_00: So rather than just seeing that shared team key,
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  how is it tracking that securely without just relying on like
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  an honor system?
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  SPEAKER_01: It uses something called verified attribution.
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  It basically extracts user identity directly from JSON web
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  tokens or JWTs.
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  SPEAKER_00: Okay, so tied to your identity provider.
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  SPEAKER_01: Exactly.
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  Think of a JWT as an unforgeable digital ID badge that your
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  network already uses to
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  SPEAKER_01: authenticate users.
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  SPEAKER_01: When an employee sends a prompt, the gateway reads that ID badge.
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  SPEAKER_00: Oh,
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  SPEAKER_00: so instead of trusting a shared team key,
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  SPEAKER_00: the system knows exactly who you are,
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  SPEAKER_00: what department you're in,
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  SPEAKER_00: and what your specific dollar allowance is.
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  SPEAKER_01: You got it.
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  SPEAKER_01: So you map the access.
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  SPEAKER_01: The machine learning engineering team gets the expensive frontier models.
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  SPEAKER_00: Right.
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  And an intern might be restricted to something highly capable
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  but vastly cheaper.
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  SPEAKER_01: Exactly.
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  SPEAKER_00: But wait, what happens when that intern hits their dollar limit?
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  SPEAKER_00: Because if the system just throws up a hard block,
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  SPEAKER_00: we are right back to being the department of no.
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  SPEAKER_01: And that is where a mechanism called smart failover kicks in.
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  SPEAKER_01: Instead of blocking the user and killing the service entirely,
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  SPEAKER_01: it triggers a graceful degradation.
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  SPEAKER_00: Graceful degradation.
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  SPEAKER_00: Okay, what does that look like?
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  The Gateway automatically reroutes their next request to a
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  cheaper fallback model,
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  SPEAKER_01: so the work continues seamlessly.
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  SPEAKER_00: Wait, I have to push back on that.
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  SPEAKER_01: Okay, go for it.
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  SPEAKER_00: If you downgrade someone to a cheaper model mid-task,
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  SPEAKER_00: aren't you risking hallucinated or just garbage output?
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  How does the Gateway know the cheaper model can actually handle
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  the prompt?
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  SPEAKER_01: Well, that's the beauty of intelligent routing.
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  SPEAKER_01: It's not blindly downgrading.
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  SPEAKER_01: The Gateway evaluates the complexity of the task first.
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  SPEAKER_00: Oh, I see.
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  SPEAKER_01: Yeah.
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  SPEAKER_01: If the intern is just asking for a text summary,
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  the system knows that an open source large language model like
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  KimiK 2.6 is more
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  SPEAKER_01: than equipped to handle it perfectly.
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  SPEAKER_00: And that costs what?
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  SPEAKER_00: A fraction of a cent to run?
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  SPEAKER_01: Exactly.
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  SPEAKER_01: It aligns the capability of the model with the complexity of the request.
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  That keeps the budget intact without sacrificing the quality of
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  the output.
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  SPEAKER_00: That's incredible.
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  SPEAKER_01: It really is.
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  SPEAKER_01: Which brings us to a critical realization for everyone listening.
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  The industry is rapidly shifting toward this kind of
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  intelligent task-based routing.
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  Right,
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  where every single request automatically finds the lowest cost
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  capable model.
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  SPEAKER_01: Exactly.
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  So ask yourself,
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  is your current AI spend a calibrated investment you can
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  actually measure?
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  SPEAKER_01: Or is it just an unmonitored liability waiting to explode?
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  If you found this useful,
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  you can find more at Connectivity Without Chaos on Substack.
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  We publish weekly insights on eliminating the hidden IT tax and
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  building more
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  SPEAKER_00: predictable,
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  SPEAKER_00: high-performing infrastructure.
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  And if there's a challenge you're dealing with right now,
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  feel free to reach out.
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  SPEAKER_00: Those often become future episodes.