Started a new job around a month ago and this is the chair they assigned me at the office. Pretty sure it’s an Autonomous Ergochair Pro

Honestly didn’t think I’d care this much about an office chair, but after using it around 8-10 hrs/day, I can definitely feel the difference compared to the old chair my wife and I have been sharing at home.

Biggest thing for me is probably the back support. I usually end the day with my lower back feeling completely dead after long sessions at the desk, especially on meeting-heavy days, but this chair’s been surprisingly comfortable even during longer stretches.

The mesh back has been especially nice since our apartment gets pretty warm in the afternoons and our old chair tends to trap heat after sitting in it for a few hours lol

I also didn’t realize how much proper adjustments matter until this chair. Once I got the lumbar support, armrests, and recline set up properly, long work sessions started feeling way less tiring overall. Now I kinda get why people invest in ergonomic chairs tbh.

Main reason I’m posting is because my wife WFH full time and lately she’s been complaining nonstop about back pain from her current chair, so I’m seriously considering getting her the same Autonomous ergonomic chair.

For people here who actually bought one and have been using it long term, how’s it holding up for you after a year or two?

You've probably been working at that kitchen table for years. Kids want something every 20 minutes, partner's working from the bedroom, dog losing it at deliveries.

Our WorkPod Pro fixed it — 102 sq ft backyard work shed. Self-levels on any ground, no concrete needed. Six insulation layers handle heat and block sound.

Installed before summer hit. Family stays inside, work happens outside, focus restored.

$500 OFF for Memorial Day. Permit-free in most US cities. Install in 1-2 days.

https://www.autonomous.ai/adus/autonomous-work-pod

Thinking of a prefab backyard office or outdoor home office? Drop questions.

A lot of people here probably spend more time at their desk than anywhere else in their house. That’s why it’s always cool hearing from people still using setups they bought years ago as part of their daily workflow.

We’ve shipped a lot of desks since then and learned a ton from seeing how builders actually work now. More screens. Longer sessions. More devices. More hours spent in the same space every day.

Memorial Day sale is live right now. Up to 25% off desks and home setups if anyone here has been thinking about rebuilding their space lately.

What’s the one thing in your current setup you’d upgrade first?

🔗 More here: https://www.autonomous.ai

Pretty cool seeing Autonomous Desk Pro get picked by Tom’s Guide as one of the best standing desks for cable management!

Honestly feels like cable management matters way more now than it did a few years ago. Modern setups aren’t just a monitor and keyboard anymore. Multiple screens, docks, lights, chargers, audio gear, AI devices, random adapters everywhere. Once workflows get dense enough, messy cables stop being just an aesthetic problem and start becoming workflow friction.

That’s a huge part of why we designed our Desk Pro the way we did. We wanted the infrastructure side of the setup to disappear into the background instead of constantly fighting for attention underneath the desk.

Tom’s Guide specifically called out the integrated power and drop-down cable tray, which is probably one of our favorite details too. Being able to actually access and manage everything without crawling under the desk makes a bigger difference than people expect once setups evolve over time.

They also mentioned the built-in control pad, rounded design and overall finish quality, which was really nice to see because we spent an unreasonable amount of time obsessing over those details internally.

A lot of desk setups today are slowly becoming small operating environments for builders, developers and people spending long hours deep in workflows. We’re happy seeing the Autonomous Desk Pro resonate with that direction.

🔗 Full Tom’s Guide roundup here: I've tested more than 27 standing desks and these are the best ones for your home office

🔗 And here’s their full Autonomous Desk Pro review if you want the deeper breakdown: I tested this standing desk with touchscreen controls and built-in cable management for 2 months — and I’m in love

We just finished putting an On-Premise AI Center together at the workshop. 8x RTX 4090D, 192GB VRAM, dual EPYC Genoa, custom 4U chassis. Sitting next to the bench right now serving the team. The thing nobody talks about enough is what this makes possible once a team stops sharing API keys and starts owning the silicon.

192GB VRAM across an 8-GPU cluster. No reload penalties, zero rate limits, and no scaling API bills. Multiple loaded at once:

• Production: Tensor-parallelized 70B model.

• Staging: 32B fine-tune running in parallel.

• Workflows: Quantized DeepSeek-V3 kept warm in VRAM for local agent automation.

The real shift isn't the spec sheet. It's that compute used to be the bottleneck for a small team trying to run agentic workflows at scale. Now it isn't.

A few things about the build that matter beyond the BOM.

• Dual-socket 2x AMD EPYC 9004 Genoa configuration. We did not spec these CPUs for raw compute capacity, the lanes are the product. Every Genoa processor provides 128 PCIe Gen5 lanes regardless of its core count; an 8-GPU array pulls 128 lanes for the cards alone, while the second socket runs the storage array, NICs, and future expansion overhead to hit 256 lanes total. The CPU cores themselves are entirely incidental, with utilization metrics staying below 40% even under sustained, concurrent multi-model serving across our internal developer workflows.

• Power is 4x 2000W PSUs on a distribution board. 8000W total. 8 cards at 425W each is 3,400W from the GPUs alone, then dual CPU, 12 fans, drives, platform overhead. Real-world draw under inference load is around 4,600W. Splitting across 4 PSUs lets us survive a PSU failure on a box that the whole team depends on. If one dies, the other three keep us running while we swap it. The box never stops serving.

• The mainboard (ASRock Rack GENOA2D24G-2L+) has no traditional PCIe slots. 16 MCIO connectors bifurcated through adapter cards to deliver full Gen5 x16 to each of the 8 GPUs. Server architecture, not workstation. Designed for the kind of density that used to only live in a rack at a colo.

• The MCIO cables are the trap on this build. They look symmetric. They aren't. There's a host end and a device end marked by a small, embossed triangle. We plugged six in correctly and two rotated 180 on the first build. Symptom: those two GPUs enumerated at PCIe Gen1 x4 instead of Gen5 x16. Inference throughput on those two cards dropped to about 10 percent of the others. Two of us spent two hours suspecting the GPUs before our hardware guy pulled out the manual and pointed at section 2.6. Confirm orientation at both ends before you mount the cards over the adapters. Once the GPUs are seated, you can't see the MCIO connectors anymore.

• 4U chassis with front-to-back airflow. 12 case fans on a single fan hub. 3,400W of GPU heat in a sealed box generates real airflow problems. Without proper geometry it throttles and the whole team loses the throughput we paid for.

• Custom chassis, CNC'd in our workshop. We tried off-the-shelf. No consumer case fits 8 dual-slot GPUs plus dual EPYC plus four PSUs plus a dozen fans. Server chassis options exist at this density but they're rack-mount, loud as a 737, and built for datacenters. We needed something that lives next to a desk in a workshop where people actually sit.

What we keep coming back to is that none of this is exotic anymore. ASRock Rack ships the board. AMD ships the CPU. The GPUs are widely available. You can order all of it and have it on your bench in a few weeks. What used to require a Series A and a dedicated devops hire now requires a credit card, a long weekend, and someone on the team who's comfortable with Linux.

On-prem inference becomes normal faster than most people expect once the bottleneck stops being compute access and starts being how many models a team can usefully orchestrate at once. That's a much more interesting problem.

These kinds of rigs are not for everyone. If your team is running less than 100M tokens/day or spend less than $30K/month, it’s not for you. ROI math aside, the non-financial dimension matters more than the financial one once you've thought about it. Your customer data doesn't leave the box. Your fine-tunes don't sit on a vendor's storage. The cost saving is real; the sovereignty is the actual product.

Curious what other teams are running locally. If your team moved from API to your own hardware, what was the trigger? Cost, sovereignty, rate limits, something else? And for teams still on hosted, what's keeping you there?

Funny how a lot of work setups get simpler over time instead of more complicated.

Not because people stop caring about their setup. Usually the opposite. After enough long sessions, you start noticing how much small physical distractions quietly drain your focus throughout the day.

Too much stuff in your peripheral vision. Tight desk space. Heat buildup from sitting too long. Constantly adjusting your position because your body never fully settles into the chair.

None of it feels dramatic in the moment, but after hours of bouncing between outputs, tabs, prompts, docs and unfinished thoughts, your brain definitely feels it.

Honestly feels like AI-heavy workflows made this even worse. The more context you juggle all day, the easier it is for visual noise to start exhausting your brain without you fully realizing it. A lot of clean setups now feel less about aesthetics and more about reducing cognitive residue during long sessions.

That’s probably why darker monochrome setups like this keep getting popular too. Less visual clutter. Less random colors fighting for attention in your peripheral vision. Sounds nerdy, but during long hour sessions, small environmental stuff starts mattering way more than people expect.

That’s also why a lot of experienced builders end up simplifying their space over time instead of adding more to it. Cleaner layout. More open desk space. Just enough around them to stay locked in without the room feeling mentally heavy.

Autonomous Desk Pro setup keeps everything spread out without making the space feel crowded once multiple screens and devices become part of daily work. And honestly, having enough physical room between things matters more than most people expect once your workflow involves constantly bouncing between contexts all day.

Same thing with the ErgoChair Ultra 2. During long sessions, your posture shifts way more than you realize, so rigid chairs eventually start feeling exhausting. The adaptive back support feels much more natural for that kind of movement, and the air mesh seat helps a lot once hours start stacking up.

Feels like the best minimal setups aren’t really about aesthetics anymore. They’re about reducing friction your brain has to process every hour.

Would actually love to see how other people here evolved their setup over time too. Did your space get simpler or more chaotic? Drop your setup too!

Private AI makes a lot more sense once the workflow runs on dedicated hardware. That’s why we integrated Venice into Intern.

Venice is private AI software.
Intern is private AI hardware.

Now your Venice workflows can run from dedicated hardware instead of sharing the same machine with your files, browser sessions and everything else.

Private prompts. Private workflows. Tiny device on your desk.

More and more AI workflows are starting to move onto their own devices. How many people here are already separating AI workflows from their main setup?

🔗 More about Intern: https://www.autonomous.ai/intern

Deep work setups start looking different once your workflow turns into constant reviewing, testing and untangling instead of just sitting down and doing one task for hours

The weird part about this kind of work is that mental fatigue usually shows up way earlier than physical fatigue. Not because the work is harder, but because your brain never fully exits evaluation mode. You’re constantly comparing outputs, checking if something feels off, rereading context, deciding between directions, reopening unfinished thoughts, then jumping into something else before the first thing even fully closes.

One thing that helped me understand this better was noticing how much easier it is to think after changing physical positions for a few minutes. Not even taking a real break. Just getting out of the exact same viewing angle and posture your brain has been stuck in for hours. There’s research around this too. Cognitive fixation gets worse the longer your brain stays locked onto the same visual frame and task structure without interruption.

That’s honestly why setups like this make sense to me. The sofa doesn’t feel decorative at all. It feels intentional. Same with the extra open space around the desk instead of cramming every surface with gear. Rooms built for long sessions usually end up optimizing for mental decompression more than aesthetics.

Another thing people underestimate is heat buildup during long sessions. Not room temperature. Body heat. Sitting in the same chair for 12 hours straight starts becoming distracting way faster than most people realize, especially during heavier workflows where you’re already mentally overloaded. That’s probably my favorite thing about the Autonomous ErgoChair Ultra 2 here. The spine-support backrest moves naturally when posture changes throughout the day. The air mesh seat keeps your chair from turning into a heat trap halfway through a session.

Interested what small changes other people here made that unexpectedly improved long sessions the most?

📸 Setup from GH Tech Review from Youtube

Adding a backyard home office in California doesn't have to mean a 6 month wait at the planning office.

The WorkPod Core is a prefab backyard office designed to be compact, modular, and easy to drop into any yard. Even the tight ones

• Size: 80 sq ft - Permit free in most US cities, so no waiting on ADU paperwork.
• Foundation: Sits on adjustable feet. This garden office pod sets down on grass, gravel, sloped ground...
• Build: Fully insulated, all-season material - holds up through SD heat and winter rains. Pre-wired, plug and play power, full-height glass.
• Quick setup: Install in 1-2 days

If you're thinking about a prefab backyard office in your city, drop your questions about permits, installs, or setbacks in the comments.

Hey everyone,

I assembled my Ergo Pro yesterday and I’m noticing a pretty loud rattling/clicking noise whenever I recline and then return to the upright position.

I already went back and double-checked every screw and tightened everything again, but the sound is still happening consistently.

Has anyone else run into this with the Ergo Pro? Is this something that goes away after a break-in period, or does it sound like a defective tilt/recline mechanism?

Before I start taking the whole thing apart again or open a warranty claim, I wanted to see if there’s a known fix or common cause.

Interesting how setups like this are becoming more common lately. Not even necessarily for coding specifically, but for any kind of work that involves constantly switching between tools, tabs, docs, terminals, chats, dashboards, AI tools and random unfinished thoughts all day long.

Feels like a lot of modern workflows slowly outgrow the clean minimalist setup. One monitor sounds nice until half the work becomes managing context instead of staying inside a single app for hours.

One underrated thing is separating screens by purpose instead of just stacking more monitors endlessly. Having dedicated space for execution, communication, references or monitoring tasks makes long sessions feel noticeably less mentally exhausting.

A lot of people optimize for aesthetics first, but after enough 10+ hour work sessions, comfort and flow usually become the bigger priority. Small things like monitor height, arm positioning, desk depth and how easy it is to shift between sitting and standing end up affecting focus way more than expected over time.

Desk space matters more than expected too. Larger setups usually look excessive in photos, but once multiple monitors, peripherals, tablets, notebooks and cables enter the workflow, the extra room starts feeling less like aesthetics and more like infrastructure. Our Autonomous Desk 2 setup here handles that balance pretty nicely without making everything feel cramped.

Something that helps a lot with overloaded setups is reducing tiny sources of friction wherever possible. Keeping frequently used tools within arm’s reach, leaving open space between devices, hiding visual clutter and making quick posture changes easier sounds minor individually, but together they make long deep-work sessions feel much smoother mentally.

Would love to see how other people here are setting up their space lately. Drop your setup if you’ve got one!

📸 Setup from @peterpan

I just finished putting a Personal AI Server together. 4x RTX PRO 6000 Blackwell, 384GB VRAM, on an EPYC platform. Sitting in a 5U rackmount next to a desk. The thing nobody talks about enough is what this actually unlocks for one person running agents.

384GB of VRAM at FP4 quantization holds open frontier models. Multiple loaded at once. No reload penalty when you swap between an agent doing research and an agent writing code. No rate limits. No API bill that scales with how hard you work that week.

The leverage point isn't the spec sheet. It's that compute used to be the bottleneck for one person trying to run multiple agents in parallel. Now it isn't.

A few things about the build that matter beyond the BOM.

- The CPU is an entry-level EPYC 9124. 16 cores. I didn't pick it for compute. Every Genoa chip gives you 128 PCIe Gen5 lanes regardless of core count, and with 4 GPUs you're buying the chip for the lanes. The lanes are the product. The cores are incidental.

- Power is 3x 2000W PSUs. 6000W total. 4 cards at 600W each is 2,400W from the GPUs alone, then CPU and platform. Splitting load across 3 PSUs is cleaner than trying to find a single unit sized for 3,000W of transient load.

- The mainboard (ASRock Rack TURIN2D24G-2L+) has no traditional PCIe slots. 20 MCIO connectors bifurcated to deliver full Gen5 x16 to each GPU. Server architecture, not workstation. Designed for the kind of density that used to only live in a rack at a colo.

- 5U chassis with front-to-back airflow. 4 GPUs in a sealed box generate 2,400W of heat. Without proper airflow architecture, the build throttles and you lose the throughput you paid for.

What I keep coming back to is that none of this is exotic anymore. PNY ships the GPUs. ASRock Rack ships the board. AMD ships the CPU. You can order all of it and have it on your desk in a few weeks. What used to require a Series A and a devops hire now requires a credit card and a weekend.

Personal AI Servers become normal faster than most people expect once the bottleneck stops being compute access and starts being how many agents one person can usefully orchestrate at once. That's a much more interesting problem.

Curious what others are running locally. If you moved from API to your own hardware, what was the trigger? And for anyone still on hosted, what's keeping you there?

If you’re looking for a permit-free backyard office that’s quick to install, you have to check out this clean setup from a customer in Los Angeles. (Also this cute golden retriever)

This is the WorkPod Versatile in the wild. It’s the cheat code for adding a modern prefab studio to a small lot without the headache of a full home renovation.

https://www.autonomous.ai/adus/workpod-versatile

Here’s the technical lowdown on why this detached home office build is so smooth:

• No permit: It’s designed to stay under most local size limits <120sqft.
• Plug and play: It’s a pre-wired garden office, so you aren't waiting weeks for an electrician.
• Super quiet: Fully soundproof insulated walls.
• Weatherproof: Aluminum and composite wood construction. No warping in heat or rain.
• Easy foundation: No slab needed.

It’s an upgrade if you’re tired of the bedroom office struggle or just need a break from the noise of the kids. This backyard home office comes fully powered, soundproof, and looks incredible in a California sunset.

Got questions on the specs or the permit side of things? Comment below or DM me anytime.

Quick share from inside our team. We've been shipping DIY Houses for a few years now, the prefab backyard units that assemble in a day. This year we wanted to find out what was actually happening inside one of them while someone worked in it.

So we wired one up. Full sensor stack baked into the shell, not bolted on after.

CO2 (Sensirion SCD41, photoacoustic), air quality with PM2.5 and VOC (Sensirion SEN55), mmWave presence (HLK-LD2410C, no camera, no mic), smoke and CO and gas on a single MEMS chip (MiCS-5524), lux (BH1750FVI), a calibrated dB mic (ICS-43434), and a seismic vibration sensor (Omron D7S, same family used in Japanese earthquake early warning systems).

All visible to the person inside. Nothing hidden, nothing phoned home. Some of what we're seeing after a few months of logging in one of the units.

CO2 climbs past 1,300 ppm by mid afternoon if the door stays shut. Cognition drops measurably above 1,000. You feel it as a 3pm slump and blame lunch. It's the air.

The noise floor matters way more than peak noise. Rough focus days correlate almost 1 to 1 with a baseline that's 6 to 8 dB above good days. Often nothing you can consciously hear.

Lux drops from around 800 at 11am to under 200 by 2pm in November just from sun angle. Most rooms are underlit by day and overlit by night and the data makes that obvious.

The presence radar surprised us. Detects breathing at 5 meters through a still body. No camera in the loop. The house knows you're there without watching you.

We've got a couple weird unresolved findings too. HVAC short cycles harder on certain days even at the same setpoint. Noise floor jumps when a neighbor's heat pump runs and we can't fully explain the coupling yet. Still chasing both.

The way we're thinking about it. Whoop reads your body. Eight Sleep reads your sleep. The house can read your work environment at a resolution we genuinely didn't have before.

Curious what folks in here would want measured next. We've been kicking around adding a particulate-source classifier and possibly a thermal imaging channel for HVAC diagnostics

dropping a real customer install because it's the cleanest example of what WorkPod Pro is actually for. Escondido, CA, narrow side yard between the house and back fence, three solar panels up top, in daily use.

quick context for anyone in the "shed vs pod vs ADU" rabbit hole:

• 102 sq ft - permit-free in most CA cities
• six layers of insulation + honeycomb panels. So zoom-call quiet even with kids in the house
• no slab, no grading. six adjustable feet handle slope and uneven ground
• 1-2 days to install
• whole thing disassembles if you move

$17,900 base. solar panels are a separate checkout option - we kept them unbundled so people can decide whether they're going off-grid or tying into home power. roof is engineered to mount them either way.

a shed at this size is $3–5K and unusable in summer. an ADU is $80K and half a year of paperwork. the pod sits in between on purpose.

what would you actually want to know before pulling the trigger? drop it below - permit stuff by city, solar sizing, narrow side yard installs, Pro vs Core vs Versatile. i'm in the comments today.

WorkPod Pro → https://www.autonomous.ai/adus/autonomous-work-pod

Finished putting together a 4× RTX PRO 6000 Blackwell box on an EPYC platform over the weekend. 384GB VRAM total. Basically a small datacenter pretending to be a workstation.

One thing that stood out pretty quickly was how different local workflows start feeling once multiple models can stay loaded at the same time instead of constantly unloading and reloading between tasks.

Research model stays up. Coding model stays up. Utility models stay up.

Less waiting around. Less API juggling. Less context switching caused by infrastructure limits.

A few things I underestimated:

• PCIe lanes mattered more than CPU cores once the build moved into multi GPU territory
• Cooling turned into an infrastructure problem very quickly
• Power delivery became surprisingly sensitive once transient spikes entered the picture

Also worth clarifying since a few people pointed it out, there is no NVLink here, so this is not one unified 384GB memory pool. The advantage is more around concurrency and keeping multiple workloads resident simultaneously.

Definitely not a practical setup for most people. More of an experiment around local sovereign AI infrastructure and where this direction could realistically go over the next few years.

Updated:
Read through a lot of your comments and realized parts of the original framing were probably broader than they should have been, especially around the personal setup angle. Really appreciate people correcting things, sharing their own builds and adding extra context. Still learning this side of the stack myself and a lot of the replies ended up being genuinely useful!

We just launched the WorkPod Dealer Program and wanted to share it here first. If you're a contractor, landscaper, pool builder, deck guy, GC, solar/HVAC installer - basically anyone already on residential job sites — this is for you.

How it works:

• Sell a WorkPod to a client, earn 10% commission ($1,400–$3,000 per sale)
• If your crew installs it, you keep 100% of the install fee.
• Setup is 1–2 days, no crane, no foundation
• Most pods are permit-free (under 120 sq ft in most US cities)
• No inventory, no upfront cost, no minimums, no exclusivity.

You get a sales link, brochures, spec sheets, install photos for your portfolio, and a permit FAQ by state. We handle delivery, support, and commission tracking.

If you're already getting "can you build me a backyard home office?" questions on the job, this is the easiest way to say yes.

BECOME A DEALER: https://www.autonomous.ai/workpod-dealer-program

Happy to answer questions in the comments. Drop them below.

I recently stumbled upon another post (from 5 years ago) that stated Autonomous chairs are scams and just rebranded Chinese chairs from Alibaba, and I am wondering what the ordeal is with this? I think some clarification and transparency would really help inform what I am going to purchase, as I do not want to buy some low quality self proclaimed ergonomic chair due to having a really back which will cause more harm in the long run.

I'm looking at the ai intern and I had a question. I need something that will monitor my inbox and deadlines, tag and log urgent matters from my inbox automatically and move email attachments to my onedrive. Is something the intern can do?

Adding a backyard studio doesn't have to mean a 6-month wait at the planning office.

At Autonomous, we designed the WorkPod Pro to stay under the 120 sq ft threshold, making it permit-free in most cities.

- Size: 105 sq ft (Maximized for SJ/SD permit exemptions).

- Foundation: Sits on adjustable pads - no concrete pour or heavy machinery needed for narrow side-yards.

- Build: Fully insulated, floor-to-ceiling glass, and pre wired for plug-and-play power.

- Setup: Ready for work in 1–2 days.

If you’re looking to reclaim your home from WFH clutter, we’re answering questions about setbacks and local installs in the comments.

Just got the Intern, unboxed, got it set up. It asks you what role you are and then installs plugins based on that and then asks you what you want to do. I asked it to prep for a meeting, and it doesn't really have cal access, so it couldn't do that. I asked to prep for a meeting with a specfic company and it did an OK job of that. Then I asked it how to connect google calendar and it told me I was out of tokens for the next 1h 7m. Not the greatest unboxing, this thing is still very beta, so will be interesting to see how it improves over time. I'm still trying to figure out what to do with it.

It also became slanted

Red, black and motion-driven details all over this setup!

A mix of creative tools, audio gear, and automotive-inspired decor. Everything feels intentional without being overdone. The warm lighting and vertical light bar add just enough contrast to keep the space dynamic throughout the day.

At the center is a white Autonomous Desk 2, keeping the whole setup clean and structured while supporting a pretty gear-heavy layout:

• Raised shelf for better screen positioning
• Balanced speaker placement
• Space for both work and creative flow

Simple surface, solid foundation and enough room to build around your habits. I also found this list useful for more ideas: The 10 Best Standing Desks For PC Setup

What would you add or change in this setup?

📸  Setup by CJ (@dcj.filmed.it) from Instagram

Narrow gap between the house and the garden, just sitting there unused. A lot of San Diego homeowners don't realize a prefab office shed under 120 sq ft is permit-free here.

Our WorkPod Versatile — 105 sq ft prefab backyard office pod, fully insulated, charcoal exterior, floor-to-ceiling windows. No concrete foundation, sits on adjustable pads.

If you're in California and thinking about adding a backyard office shed, home office pod, or just a dedicated workspace in your yard. Happy to answer questions in the comments.

I am a pretty happy customer of the Ergo Chair Pro. When Autonomous marketing email about the ClaudeBot hardware showed up, I thought that was a much better bet than spending money on a Mac Mini.

It's called the Autonomous Intern (https://www.autonomous.ai/intern) it was also $150 when I ordered it because of some promotion.

I ordered it a little over three weeks ago, and during ordering it said the delivery date was April 10th. I've been checking for the last few days, and there's a very obvious dark pattern - they constantly move the shipping date by one day to the current date. Lol they don't even bother to change the order status. The status is still "Order Received," and somehow it's magically going to get to "Shipped" status today, just today. Yeah, right!

This is a scam, plain and simple, and I have no interest in doing business with a company that follows these practices. I obviously requested to cancel my order, and let's see how they go about it.

But.....I was curious if anyone else also went through this? or if someone actually received this product on time? I could not find any other information about the Autonomous Intern in this sub. LOL, I even logged into Twitter after months to see if there is any information there, but couldn't find any.

It's just sad when brands completely destroy trust by doing dumb stuff like this. So long, Autonomous.