Everyone has a junk drawer.

It’s that one kitchen drawer filled with stray batteries, rubberbands, half-dead pens, ketchup packets, and a oddly powerful flashlight that may or may not still work.

When you need a fork, it’s never there. When you’re in a rush, it’s the last place you’d want to look.

Your Salesforce org is no different.

The “junk” just takes another form: unlabeled fields, duplicated descriptions, and cryptically named objects like Date1, Date2, and Date3. Humans can sometimes muddle through this clutter — they know that “Date2” means “ship date” because someone told them once in a meeting.

But your AI agents? Nope. They don’t stand a single chance.

This is the junk drawer problem: your AI can’t deliver value if it has to dig through a mess of metadata just to find what it needs.

Don't believe us? Well, Salesforce has some thoughts.

Salesforce’s own warning: Metadata matters

Oh, and we’re not the only ones pointing this out.

Salesforce itself has been making the case.

On a recent Salesforce Admins Podcast, Joshua Birk, Admin Evangelist at Salesforce, explained that AI agents like Agentforce are essentially robot butlers. If you ask the butler to set the table, it can only do the job if it knows "where the forks are."

A nice-and-tidy drawer with clear and accurate labels makes the task much, much simple.

A cluttered drawer full of random odds and ends? Suddenly, your butler is fumbling, giving up, or worse, guessing and bringing you a ketchup packet instead of a salad fork.

Birk’s ultimate conclusion: clean metadata is what makes AI useful.

If you don't mind me saying so, that’s a powerful piece of social proof for what has amounted to Sweep's position the last several years.

Salesforce itself is essentially broadcasting to its community that metadata is the blueprint, or even the organizing principle, that helps AI respond with confidence instead of confusion. Sweep couldn’t agree more — and we’ve built an entire workspace to solve it.

How metadata is the blueprint for your Salesforce org

To understand why this matters, it helps to revisit how Salesforce is built.

From the beginning, Salesforce has run on multi-tenancy. Think of the metaphor as an apartment building: every customer has their own unit, but the whole building shares important infrastructure, like water and electricity.

Metadata is the blueprint of each apartment. Custom objects define the rooms. Fields are the drawers and cabinets. Descriptions are the labels that tell you what’s inside.

Without metadata, your AI is wandering around through a half-renovated kitchen.

With metadata, your AI knows precisely where to look — which drawer has the forks, which the bubble gum, and which room is off limits.

And importantly, that's not an architectural detail: metadata is how your org tells your Salesforce's story to AI.

Done right, it’s a map that every user and every AI agent can follow. Done not-so-right, it’s back to that junk drawer.

The huge cost of junk drawers

Let’s be honest: every Salesforce org has at least one of these junk drawers.

Ahem. Usually more.

Think of these:

• A description field that’s been used as some dumping ground for notes that belong elsewhere.
• A cluster of similarly named fields — Contract Date, Close Date, Date1 — that no one remembers how to use consistently.
• Old objects that once mattered, now ghosttowns still sitting in the corner, taking up space.

We humans can sometimes make sense of these inconsistencies by relying on our “tribal knowledge," like a sales manager might know that the second date field is the one finance looks at, or that “Notes” really means “call log.” But this sort of tribal knowledge doesn’t scale.

And AI, as you may have seen across the internet, don't always guess well.

The cost of leaving junk drawers unchecked is unholy and real:

• Your reps will waste time searching, double-checking, or entering data twice.
• Forecasts will become unreliable because fields mean different things to different users.
• Automations will break silently when an agent selects the wrong field.
• Executives will lose confidence in all those "AI-powered insights" when outputs vacillate.

All because your org has been quietly piling forks, takeout menus and broken pencils into the same drawer.

You’re already building for AI

Here’s the biggest irony of them all: you’ve been training AI agents all along, whether you realized it or not.

Every time you create a field description, choose a picklist over a free-text box, or standardize object names, you’re leaving breadcrumbs for an agent to follow.

That’s why Salesforce evangelists keep saying: you’re already an AI builder!

They're not wrong, either. You don’t need to start from scratch. But the problem is, most of that work is hidden, inconsistent, or scattered across years of org growth.

Think about it: if your robot butler only does right because you happen to remember which drawer has the forks, that’s not a system. That’s luck.

AI deserves more than luck. And if not AI, you deserve more than luck, too, fellow human.

Why Sweep exists

At Sweep, we take Salesforce’s warning seriously. But we go further.

Salesforce says: “Clean up your metadata.”

We say: “Work with metadata agents that do the cleaning, mapping, and fixing alongside you.”

Sweep’s metadata agents:

• Spot the junk drawers before they derail your Salesforce workflows.
• Map your org so every field, flow, and object has a clear place in the blueprint.
• Resolve duplication and ambiguity so AI agents never have to guess.

Basically we make sure every drawer is labeled, every cabinet opens smoothly, and the forks are always in the right place.

Stop guessing, start actually designing your logic

Think about what’s riding on this:

• Revenue forecasts executives use to make board-level decisions.
• Automations that control whether opportunities get routed or stuck.
• Customer experiences that hinge on accurate, timely responses.

If your AI is guessing which drawer to open, it’s only a matter of time before it guesses wrong.

The next great leap for high-complexity companies won’t be built on features alone. It won’t be built on more dashboards, more integrations, or more bots. It will be built on metadata.

You can believe that.

Clean, consistent, well-labeled metadata is the difference between AI that stumbles and AI that scales. And Sweep is the first agentic workspace designed to make it happen — where your team collaborates directly with metadata agents to analyze, build, and scale your GTM engine.

Sweeping it all up

The junk drawer will always exist. Don't think it won't. But it doesn’t have to define your Salesforce org as a tangled, jumbled mess of knickknacks.

Salesforce itself is telling you: metadata is the foundation of AI. Sweep is showing you how to turn that foundation into action — with agents that map, clean, and clarify before your AI ever has to guess.

Stop having your AI rifle through that junk drawer.

Start working with metadata agents with us.