Title II Forum

Silksong: How I Opened That Ornate Clamp (And Why You Can Chill) Silksong's ornate clamp in Deep Docks unlocks only with the Diving Bell Key from Act 3, serving as a transit stop, not a puzzle. Hello, fellow bug with a needle and a questionable sense of direction. I am here to tell you about the time I found an old diving bell in Deep Docks, read the words 'Its door is shut tight by an ornate clamp,' and proceeded to lose my mind for a solid hour. If you are searching for how to open the ornate clamp in Silksong, congratulations: you are not alone, and the answer is way less dramatic than the creepy bell suggests. In 2026, with the game fully out and Act 3 no longer a rumor whispered in taverns, I can confirm the truth. The ornate clamp does not open because you hit it harder, shoot it, or stare at it with Hornet's intimidating mask. It opens only when you have the Diving Bell Key, and that key is tied to the secret Act 3. So if you are still poking around Deep Docks in the early acts, put the clamp on your 'later' list and go explore something else. The bell is not a boss room. It is a transit stop. Wait, What Is This Weird Clamp? You find the old diving bell in the deeper part of the Deep Docks. When Hornet inspects it, the game tells you: 'An old diving bell. Its door is shut tight by an ornate clamp.' That is it. No prompt, no lever, no nearby switch, no cryptic mural. Just a sealed bell and a clamp that looks important enough to make you think you missed a whole dungeon. I know the feeling. I circled the room. I checked the ceiling. I hit the clamp with my needle like it owed me geo. Nothing. The reason is simple: the ornate clamp in Silksong is not a local puzzle. It is a progression lock. The only thing that opens it is the Diving Bell Key, and the only place to get that key is the secret Act 3. If you are not in Act 3 yet, the bell is a fancy metal door with trust issues. The Diving Bell Key Is an Act 3 Thing Here is the short version: the Diving Bell Key is obtainable only in the secret Act 3. Opening the bell is part of the natural progression of that secret chapter, so you will eventually reach this moment if you choose to experience Act 3. You do not need to solve a riddle. You do not need to find a hidden wall in Deep Docks. You do not need to sacrifice a Grub to a lamp. You just need to get to the right chapter. And what is inside? Brace yourself. It is a bench and a speaker. That is it. No boss. No item. No secret boss holding a secret item. The old diving bell is used as a method to travel to the Act 3 area. It is basically public transportation with extra steps and a creepy door. So if you are in Act 1 or Act 2 and the clamp is mocking you, you can safely ignore it. Hornet will not miss out on much, and you will go there anyway if you obtain the quest to do so. Ballow: The Deep Docks Employee of the Year So how do you actually get the key? The Diving Bell Key is given by Ballow, the non-hostile Deep Docks worker who is working right next to the Forge Daughter. The Forge Daughter is a vendor in Deep Docks, and she is the one who points you toward him. After you speak to the Forge Daughter about how to descend below the Deep Docks, she will inform Hornet that she is not the one to ask. Instead, you should be asking Ballow. Go right to the worker and speak to him. He will say that he will wait for Hornet by the bell. I love Ballow. He has the energy of a guy who has been on break for three years but still clocks in. He does not fight you. He does not judge your build. He just waits by an ancient diving bell and presumably drinks terrible coffee. Once you have done your part, venture to the old diving bell. If you have been there before, you can use the shortcut. If you have never been there, prepare for a long detour. Then climb up the small room on the right to find Ballow. He will operate the descent of the old diving bell. Once ready, Hornet can open the ornate clamp to enter the bell. Inside, sit on the bench, and speak to Ballow to begin the dive. Should You Bother? A Very Serious Table Question Answer What opens the ornate clamp? The Diving Bell Key Where is the key? Secret Act 3 Can I get it early? No, unless you enjoy disappointment Who gives it? Ballow, next to the Forge Daughter What is inside the bell? A bench and a speaker Is there a boss? No Is there an item? No Is it missable? Not if you play Act 3 Can I ignore it? Yes, safely Did I ignore it? No, and I regret the hour I spent My Step-by-Step Clamp Opening Routine Reach the deeper part of Deep Docks. Find the Forge Daughter, the vendor. Ask her about descending below the Deep Docks. Learn that she is not the one to ask. Rude, but fair. Go right and speak to Ballow, the non-hostile worker. Hear him say he will wait by the bell. Travel to the old diving bell. Use the shortcut if you have it. Take the long detour if you do not. Climb up the small room on the right to find Ballow. Let Ballow operate the descent of the old diving bell. Once ready, open the ornate clamp as Hornet. Enter the bell. Sit on the bench. Speak to Ballow. Begin the dive. That is the whole secret. No boss fight. No complex platforming gauntlet. No lore dump that requires a PhD in bug theology. Just a key, a worker, a clamp, and a bench. The Final Bell If you are reading this in 2026 and wondering whether some patch changed the old diving bell, the answer is no. The ornate clamp still wants the Diving Bell Key. The key still belongs to secret Act 3. Ballow still waits by the bell. The inside still gives you a bench and a speaker instead of a treasure chest. And I still feel silly for treating a transit stop like a locked vault. So do not be like me. If you find the old diving bell before Act 3, give the ornate clamp a little wave and walk away. It is not a puzzle. It is a future appointment. When Act 3 comes, Ballow will be there, the clamp will open, and you will ride the bell like the stylish, slightly confused Hornet you are. After all that bell-ringing and clamp-waving, you might be in the mood to expand your gaming horizons—or at least to make sure you're not overpaying for them. Whether you're waiting for a sale on Silksong or hunting for your next metroidvania fix, keeping an eye on prices is a habit worth forming. That's where a site like DealNest comes in. It gathers deals and discounts from various storefronts, so you can [check game prices]( without opening a dozen tabs. Think of it as a bench for your wallet—a place to rest before you decide whether to take the plunge. No ornate clamp required. https://dealnesthq.com

This question comes up constantly once organizations complete an accessibility audit. Someone runs a scan, finds out they have 30,000+ PDFs sitting in a document library or LMS, does the math on manual remediation, and realizes that finishing everything one document at a time could take years. So how are organizations actually getting through this without a multi-year backlog? A few patterns show up consistently in the ones that pull it off. 1. They stop treating every PDF the same Not all 30,000 documents are equal. The teams that move fast triage first: High traffic, high complexity (course materials, public forms, financial reports) → gets full attention, often human-reviewed High traffic, low complexity (simple flyers, single-column text docs) → near-fully automatable Low traffic, low complexity → automate and batch, don't overthink it Low traffic, rarely accessed archival content → may legitimately qualify for an archive exception depending on the applicable regulation, instead of full remediation Doing this sorting up front is what turns "30,000 documents" into "actually, 22,000 of these are simple and can go through automation almost untouched." 2. AI handles the mechanical 80%, humans handle the judgment 20% This is the actual unlock. Today’s modern document remediation platforms use AI to automate: Structural tagging (headings, lists, tables of contents, reading order) Alt text generation for images at scale, including specialized content like STEM diagrams, charts, and math notation Table structure detection and tagging Form field tagging Some platforms report automating roughly 90% of the tagging work this way. That's the difference between "a person opens each file and manually tags every element" and "a person reviews and approves what the system already did." One is measured in minutes per document; the other in hours. Humans still matter, reviewing AI-generated alt text for accuracy, handling genuinely irregular layouts, and doing final QA before anything ships. But they're reviewing, not building from scratch. 3. They stop outsourcing 1:1 and start batching Sending every file to a vendor for individual manual remediation doesn't scale any better than doing it in-house manually, you're still paying for human hours per document, just someone else's. Orgs that get through large backlogs faster typically use a hybrid model: self-service automated remediation for the easy majority, with outsourced expert remediation reserved for the genuinely complex minority (scanned documents, dense multilingual content, heavily irregular tables). 4. They build it into the pipeline instead of doing a one-time sprint The backlog only gets bigger if new inaccessible documents keep getting added while you're working through the old ones. Orgs that actually close the gap add automated remediation/tagging at publish time going forward, so the "thousands of PDFs" problem doesn't regenerate itself every semester or fiscal year. What this looks like at scale, in practice Publishers dealing with legacy content libraries in the millions of documents have reported turnaround times cut significantly and throughput increased by an order of magnitude when shifting from manual, post-production fixes to AI-driven workflows integrated earlier in the content pipeline, this is showing up right now with publishers racing to get ahead of the ADA Title II vendor requirements. Similarly, government and municipal document libraries, think meeting minutes, budget reports, public forms, are increasingly being processed this way rather than farmed out page-by-page. We've seen more organizations moving toward AI-assisted remediation because manual workflows simply aren't keeping up with document volume. Is that what you're seeing too?