WEBVTT

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Have you ever given an AI a complex coding task?

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You press enter and you just sit there. You watch

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your terminal freeze up while you visibly age.

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Yeah, it's a very specific type of modern agony.

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It really is. Well, welcome to the Deep Dive.

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Today, we're exploring a massive upgrade to Cloud

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Code. It's called Ultraplan. Right. It's a completely

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quiet update, but, you know, a huge deal. Exactly.

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We're looking at how Anthropic rewired the coding

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process. They're taking us out of that agonizing

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local queue. They moved us to a parallel cloud

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architecture. We're going to examine the hidden

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compute costs behind this, too. And we'll look

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at a real -world dashboard test. Plus, we have

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to cover the crucial limitations you must know.

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I got to admit something first, though. I still

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wrestle with the anxiety of a frozen terminal

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myself. I just sit there wondering if my whole

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system just crashed. Oh, absolutely. You just

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stare at that blinking cursor. You're entirely

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locked out of your own machine. You just hope

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the AI is actually doing something productive.

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Exactly. You feel totally helpless. So let's

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unpack why Ultraplan even exists. It all comes

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down to the bottleneck of local planning. Right.

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So look at standard local planning first. It

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uses one linear agent. That single program. works

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step by step inside your terminal. It just types

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out its internal thought process. It's doing

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this right in front of you. Yeah, and that's

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a major problem for complex builds. It produces

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a massive wall of scrolling text. You can't easily

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review that text at all. You certainly can't

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change its mind before it starts writing code.

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Because by the time it finishes, you're already

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committed. The train has left the station. Exactly.

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I mean, if you make a bad structural choice early

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on, you pause. You step back. A local AI agent

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doesn't do that. It just keeps going forward.

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It tries to course -correct mid -build, right?

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Yeah, and that's exactly when your project gets

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incredibly messy. It writes spaghetti code to

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fix its earlier bad assumptions. It's incredibly

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frustrating to watch. And I guess that brings

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us to Ultraplan. Anthropic decided to ship the

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entire planning job to their cloud. Yes, they

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used their cloud container runtime for the heavy

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lifting. It introduces a multi -agent architecture,

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meaning several AI programs working together

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simultaneously to solve one problem. Start on.

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Instead of one agent struggling alone, the cloud

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spins up a team. It creates three parallel exploration

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agents, and it adds one dedicated critique agent.

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And they all use Opus 4 .6. That's Anthropic's

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most powerful AI model available right now. Right.

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Beat. Think about the philosophical difference

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here. yeah local planning is like having one

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really smart person but they're at a cramped

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messy desk sweating over a notebook by themselves

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getting total tunnel vision but ultraplan is

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like a collaborative working session they get

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a spacious room with a massive whiteboard they

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explore multiple architectural paths at the exact

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same time whoa Beat. Imagine three Opus 4 .6

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agents exploring your entire code base at the

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exact same time. It's staggering. The critique

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agent acts like a senior developer then. It steps

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in and tightens the whole plan up. And the final

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output completely changes your developer experience.

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Instead of a chaotic terminal output, you get

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an organized web document. Yeah, hosted on Anthropix

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interface. Yeah. You see the project context

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right at the top. You see a list of files it

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intends to create. It's a proper technical brief.

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It even shows the final verification steps it'll

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run. Sometimes it includes structural diagrams

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of the proposed architecture too. And here's

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the absolute best part. You're no longer just

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a passive observer. Right. You can actually leave

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inline comments on this web document. You can

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even use emoji reactions on specific parts. You

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do all of this before you approve anything. It

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separates the thinking phase from the doing phase.

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So does this mean the cloud actually writes the

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final code for you? No, it just builds the blueprint.

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The code generation still happens locally. Got

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it. So the cloud plans, but your local terminal

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builds it. Precisely. It's a much safer way to

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build software. It feels like a much more mature

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workflow. But how do we actually invite this

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multi -agent team to our project? It requires

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a very specific approach. You must explicitly

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use the slash command forward slash Ultraplan.

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Or I guess you can just include the word Ultraplan

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in your prompt. Right, but here's the one strict

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rule you cannot ignore. It only works from the

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CLI. Meaning the text -based command line interface

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on your computer. Yes. If you try to run this

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command inside the Claw desktop app. Or the VS

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Code extension. Right. And nothing special will

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happen. It just quietly defaults to normal sequential

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local planning. That feels like a huge trap for

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casual users. People probably think the whole

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feature is broken. Oh, it's a very common mistake.

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You've got to open Claude code directly through

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your system's terminal. So if you do trigger

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it right from the terminal, what's the workflow?

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You type your prompt. You trigger the command.

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Claude immediately ships the job out to the web.

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And your local terminal doesn't freeze up at

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all. Not at all. Your terminal stays completely

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free. You can keep running your local server.

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You can check your Git logs. Meanwhile, you review

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the AI's plan on the anthropic web interface.

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You read through the context and leave your critical

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comments. You essentially act as the final gatekeeper.

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Then, when it looks perfect, you click approve.

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And boom! The approved plan teleports right back

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to your terminal. It's ready to execute. Exactly.

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It completely removes that agonizing waiting

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game. What happens to my local environment while

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the cloud is doing all this heavy lifting? It

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stays completely unlocked and usable so you can

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keep working. Terminal stays free. You review

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everything separately on the web. Spot on. It

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changes everything about the daily grind. We're

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going to take a quick break. Sponsor. All right.

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And we're back. So we have our terminal back,

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which feels great. Definitely. But does this

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actually save time in the real world? Let's look

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at a side -by -side test from our sources. Yeah,

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they ran a test to build out a complex dashboard.

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And it wasn't just a simple script. It needed

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MRR tracking. Meaning a metric tracking your

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monthly recurring revenue. Right. It also needed

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ARR tracking. A metric tracking your predictable

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annual recurring revenue. Exactly. Plus, it required

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a dynamic churn rate calculation. That's the

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percentage of paying customers who cancel their

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service. Yes. And it needed functional light

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and dark mode UI toggles. So a very standard

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but heavy full stack build. Both local and Ultraplan

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modes started at the exact same time. The results

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were genuinely surprising to read. The Ultraplan

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side was incredibly fast. It generated the complex

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plan in the cloud. It got human approval. It

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teleported the blueprint back to the terminal.

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And it actually finished building the working

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dashboard locally. Wow. It finished the entire

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project before the standard local planner even

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finished its initial planning phase. Two sec

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silence. Better planning literally equals faster

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execution. It creates a much clearer roadmap

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from the start. Claude wanders significantly

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less. It doesn't panic and rebuild sections mid

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-task. It compounds the time advantage beautifully.

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But we really have to talk about the token tradeoff

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here. Right. There's something in the source

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material about token usage. At first glance,

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this new workflow looks incredibly efficient.

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It does. During that dashboard test, standard

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local planning chewed through about 131 ,000

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local tokens. That's a lot of highly visible

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local compute power. But the Ultraplan local

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execution used only 82 ,000 tokens. Yeah, and

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that's a very big illusion. It looks cheaper

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on your terminal screen, but it's not. Ultraplan

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simply shifts the heavy compute burden to the

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cloud. You just don't see the massive token burn

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on your local CLI anymore. Right. Think about

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what's happening under the hood. You have three

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instances of Opus 4 .6 exploring your code base.

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Plus, a critique agent evaluating their work.

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That's an incredibly heavy, expensive compute

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load. The planning step consumes significant

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resources. They're just hidden from your view.

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So the 82 ,000 tokens is just the typing cost.

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But compute is definitely not free. If Anthropic

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is eating the cost of three Opus agents, how

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does that work financially? It works because

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they wall it off behind a hard paywall. You can't

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use standard API billing for Ultraplan. Oh, so

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if you try to trigger it through a pay -as -you

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-go API setup, it just rejects it. Correct. It

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strictly requires a Cloud Pro, Max, or Team subscription.

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So are we actually saving tokens or just hiding

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the massive cost off screen? We're absolutely

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just hiding the cost inside your monthly cloud

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subscription. We hide the heavy token cost in

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the cloud subscription. Exactly. You're paying

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for all that thinking in a different way. Okay.

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So before you rely on this tool daily, there

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are strict requirements. There are also weird

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quirks that'll trip you up. We should definitely

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start with the get rule. Your local project must

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be synced to Git or GitHub. Right. The cloud

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planner absolutely cannot inspect a purely local,

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untracked project. If you have a random folder

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of messy code on your desktop, it won't work.

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If you don't push your changes, the cloud planner

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works completely blind. It makes sense from a

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security standpoint, though. The cloud agents

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can't magically access your physical hard drive

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directly. That would be a massive privacy nightmare.

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Git acts as the synchronized, secure middleman.

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Then there's what the source calls the custom

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skills problem. Yeah, the AI makes rapid assumptions.

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The source gave a highly specific example of

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this flaw. A user wanted architectural diagrams

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rendered in an Excalibur style. Meaning a popular

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digital whiteboard tool with a hand -drawn style.

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Right, but Ultraplan just guessed the user's

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intent. It ignored Excalibur entirely and used

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Mermaid instead. Mermaid being a purely text

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-based tool used for generating technical charts.

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Exactly. So the technical output was functionally

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correct. Yes. But it was absolutely not what

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the user wanted visually. The cloud AI doesn't

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know your internal design standards. It defaults

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to what's computationally easiest for it. But

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the fix is actually very simple. You use that

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interactive web review step. You just leave a

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direct inline comment on the plan. You specify

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your exact internal tools. Right. You type a

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comment like, please use... Scala draw for all

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database diagrams. Let's outline the other weird

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quirks. First, there's a hard compute cap. Yes.

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You face a strict 30 -minute cloud compute cap

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per planning session. Which, honestly, is plenty

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of time for most standard application features.

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True. But you might encounter random authentication

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errors, too. They pop up occasionally, but they

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usually disappear if you just retry the command.

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Web token transparency is also very low. You

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don't really know how much cloud compute you're

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burning. Honestly, the whole thing still feels

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slightly preview -ish. It's powerful, but rough

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around the edges. There's a great pro tip from

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the source here. Keep your planning back and

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forth in the cloud environment. But you should

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open a clean local session strictly for the execution

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phase. Right, so the context window doesn't get

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cluttered with discarded ideas. If it remembers

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all the bad ideas, it might weave them into the

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final code. Definitely. Why does a cloud planner

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care if my code is on GitHub? Because the cloud

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agents need a secure bridge to actually see your

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files. The cloud agents need a bridge to see

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your local files. Precisely. No bridge means

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no multi -agent plan. With all those quirks in

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mind, should you use it for every prompt? Absolutely

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not. You really need to know when to skip this

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workflow entirely. Let's break down those specific

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use cases. When do you completely ignore Ultraplan?

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You must skip Ultraplan for small, isolated bug

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fixes. Don't use it for simple spelling typos.

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Don't use it for quick localized CSS style changes

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either. It's way too heavy of a process for that.

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You don't need a multi -agent whiteboard session

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to change a button color. It's completely unnecessary

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overhead. But you should absolutely use Ultraplan

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for deep structural changes. Use it for complex,

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multi -file features. Use it when you're doing

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full application builds from scratch. Basically,

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when the planning quality directly impacts the

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execution quality. If the architecture matters,

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use the cloud. I really love the Abraham Lincoln

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quote they included in the source material. Right.

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Give me six hours to chop down a tree and I will

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spend the first four sharpening the axe. It perfectly

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describes this new AI coding workflow. Jumping

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straight into rapid execution is no longer a

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viable strategy for complex builds. The AI types

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fast, but if it types the wrong thing, you just

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fail faster. The architectural plan needs to

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be flawless before you strike the tree. Is there

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any real danger in using Ultraplan for a tiny

00:12:33.580 --> 00:12:36.960
bug fix? Not a danger, but it's overkill and

00:12:36.960 --> 00:12:39.379
wastes your limited cloud compute time. It's

00:12:39.379 --> 00:12:41.659
overkill and wastes your 30 -minute cloud compute

00:12:41.659 --> 00:12:44.759
time. Exactly. Save the heavy multi -agent lifting

00:12:44.759 --> 00:12:47.419
for the truly heavy engineering projects. Two

00:12:47.419 --> 00:12:50.059
sec silence. Let's step back and look at the

00:12:50.059 --> 00:12:53.559
big idea here. The future of coding agents isn't

00:12:53.559 --> 00:12:56.559
just about typing syntax faster. No, it's moving

00:12:56.559 --> 00:12:59.600
rapidly toward deliberate, highly structured

00:12:59.600 --> 00:13:02.820
planning workflows. It's deeply about mandatory

00:13:02.820 --> 00:13:06.299
human review occurring before any execution happens.

00:13:06.519 --> 00:13:09.080
The process is shifting. It's moving away from

00:13:09.080 --> 00:13:12.139
blind experimentation. It's moving toward cleanly

00:13:12.139 --> 00:13:14.850
separated thinking and doing. The AI swarm does

00:13:14.850 --> 00:13:17.149
the heavy architectural thinking. You step in

00:13:17.149 --> 00:13:19.169
and do the high -level directing. Then the local

00:13:19.169 --> 00:13:21.909
machine does the tedious doing. It's a profound

00:13:21.909 --> 00:13:24.840
shift in software engineering. Deep. So here's

00:13:24.840 --> 00:13:26.419
a provocative thought for you to take away and

00:13:26.419 --> 00:13:30.320
mull over. If AI is evolving into a team of planners

00:13:30.320 --> 00:13:33.759
rather than just a fast typist, how does your

00:13:33.759 --> 00:13:36.200
role change? It's a deeply important question

00:13:36.200 --> 00:13:38.259
about our fundamental identity as developers.

00:13:38.600 --> 00:13:40.740
Are you even a coder anymore or are you becoming

00:13:40.740 --> 00:13:42.720
an art director for software? An art director

00:13:42.720 --> 00:13:45.379
doesn't paint every single brushstroke. They

00:13:45.379 --> 00:13:48.220
set the grand vision. They review the messy drafts,

00:13:48.220 --> 00:13:50.460
make sure your repo is synced, spin up Ultraplan

00:13:50.460 --> 00:13:52.929
and see how it feels to manage the team. It's

00:13:52.929 --> 00:13:54.970
a whole new professional mindset to embrace.

00:13:55.210 --> 00:13:58.029
It really is. Remember, you don't have to just

00:13:58.029 --> 00:13:59.929
sit there and watch your terminal freeze anymore.

00:14:00.210 --> 00:14:02.850
Send the heavy work up to the cloud. Grab a coffee.

00:14:02.990 --> 00:14:05.289
And review the architectural blueprint like a

00:14:05.289 --> 00:14:07.090
true boss. Take care out there.
