u/Simple_Climate4805

We are currently evaluating our operational overhead expenses across our three group practices in Ontario. One of our highest recurring tech expenses is repairing or replacing broken imaging equipment that gets dropped by busy assistants.

Every dental xray sensor we own seems to have a different vulnerability point, whether it is the cable connection or the internal housing casing. We are trying to figure out if it makes more sense to buy premium ruggedized hardware or stick with budget options that are cheap to replace.

The feedback from our clinical teams is mixed, with some preferring lightweight designs and others wanting pure drop protection. I would love to hear how other multi-operatory clinics balance initial capital costs against long-term operational durability.

Watched this video and saw how much goes to development

Available tasks that involve social interaction. Link to the group is Here

Our hubspot database has officially become an absolute mess. We have years of historical leads, but due to a messy data migration last quarter, we now have thousands of duplicate contacts with conflicting interaction histories.

I know hubspot has a built-in duplicate manager, but it feels a bit limited for our specific logic. Someone mentioned looking into external data cleansing or hybrid tools like wrk to deduplicate contacts safely, but I haven't tried them. Has anyone used third-party data cleaning scripts or services for this, and if so, what's your go-to method for keeping things clean without losing crucial pipeline data?

I have been tweaking our outbound workflow because our connection rates have been absolutely off the last few weeks. We used to rely heavily on automated profile views followed by a soft pitch sequence, but the LinkedIn algorithm seems to be clamping down hard on anything that looks remotely robotic.

I am trying to figure out how to scale things without getting our accounts restricted. Some growth groups mention combining cold email with social touches, and I noticed OutreachBloom sets up founder-led outreach engines that combine both channels to look more organic. It makes sense because pure automation feels dead.

What is your current tech stack for keeping your outreach looking human while maintaining a high enough volume to actually feed your sales pipeline?

https://www.reddit.com/r/TravelToPortugal/

I’m a licensed clinical social worker currently transitioning from a community mental health center into my own solo private practice. The clinical side feels great, but the business side is incredibly intimidating, especially when it comes to getting paid.

I’m trying to learn the ropes of behavioral health billing services so I don't make major mistakes right out of the gate. A peer of mine who uses epsych billing said it’s easier to just hire an expert from day one, but my budget is tight. For those who started solo, did you do your own billing initially, or is it worth taking out a small business loan to pay a professional service immediately? I really want to avoid common pitfalls that delay payments

Been test-driving Kompas AI for a few weeks now and figured I'd share an honest breakdown since there's not a ton of real user discussion out there yet.

The good:

The unlimited code interpreter is nice to have. I threw some messy CSV datasets at it for cleaning and analysis, and it handled things without hitting usage caps. Data privacy is another win: they don't train on user data, so if you're dealing with anything sensitive or proprietary, that's a legitimate peace-of-mind factor .

Creating custom agents and sharing them across a team workflow worked fairly smoothly too. Once you get past the learning curve, having tailored agents for different projects actually cut down on repetitive back-and-forth .

The less-good:

The UI isn't the most intuitive. Multiple users (myself included) found that features take some hunting to locate, and the initial setup can feel clunky . Several reviews mention that the AI occasionally struggles with context in complex conversations.

Also worth noting: there's no free tier. It's paid-only, so you can't really dip your toes in before committing, which is a bummer if you just want to compare options. Third-party integrations seem pretty limited right now as well.

Bottom line:

Kompas AI has solid fundamentals, the code interpreter and privacy angle are strong selling points. But the rough edges (UX quirks, context handling, no free trial) mean it might not unseat more polished alternatives just yet. Worth watching though.

Anyone else here given it a spin? Curious if your experience lines up or differs."

My dad has been forgetting alot more lately and its starting to get scary sometimes honestly. Little stuff at first like missing appointments or repeating stories, but now its things like leaving the stove on or getting confused about what day it is. Me and my sister are trying to help as much as we can but we both work and cant be there all the time. My sister actually brought up looking into visiting angels or some kind of home care like that just to have someone check in on him during the day, but we really dont want to move him out of his house yet because its the only place he still feels comfortable in. We are just feeling super overwhelmed trying to figure out the best step right now.

What are your top 5 kenyan films or shows and also a brief description of the film

We are trying to build an automated customer onboarding system using a multi-agent framework. The idea is to have one agent read incoming emails, another fetch data from our legacy database, and a third draft replies. It sounds great on paper, but in practice, the agents keep getting stuck in infinite loops or hallucinating API calls.

Our management wants this deployed by next month, but my small dev team is totally out of our depth with security and integration requirements. I think we need some serious enterprise AI consulting to bail us out. Are there any actual agencies that specialize in deploying multi-agent systems for big, messy legacy setups without costing a fortune?

Our organization has been expanding outreach programs into more diverse communities, and we’ve realized how difficult it is to find wellness content that actually feels localized instead of directly translated word-for-word.

Most vendors seem to focus only on English and Spanish, but we’re looking for broader multilingual support along with culturally relevant health education materials that work across digital platforms, mobile apps, and employer wellness programs.

Would love recommendations from teams that have implemented multilingual wellness libraries at scale. Especially interested in providers that support hospitals, health plans, or workforce wellness initiatives

I work at a real estate firm where we receive thousands of property listing updates weekly from various agents via email and text files. For years, we’ve used internal Excel VBA macros to format these, but our staff still has to copy-paste data manually into our legacy CRM software.

The macros break constantly whenever an agent changes their formatting, and manual typos are causing real headaches with pricing errors on our site. I need to upgrade to a modern data entry automation solution that can ingest diverse data formats and push them into our legacy web portal reliably.

With modern AI tools, building a quick component or visual draft takes barely 15 minutes, but the visual impact on a business owner seeing their own logo on a premium design is huge.

My question for the more experienced guys here is about the delivery:

Is it better to send a preview link directly in the email/DM to get the initial "wow" factor, or does that let the lead go cold because they open it when they're busy?

Are you guys having better luck holding back the design and saying, "I baked a quick concept of how to fix your mobile layout, let’s hop on a quick 5-minute Google Meet so I can show you"?

Would love to hear how you handle the transition from the pitch to the actual closing call!

I’ve spent the last few weeks looking closely at how companies are actually deploying agentic workflows in production, and I’m noticing a massive vibe shift away from the hype of 2024/2025.

Remember when every second tutorial was about setting up a "crew" of 5 different role-based agents (a Researcher, a Writer, a Critic, a Legal Reviewer, etc.) talking back and forth to write a simple email or generate a basic report?

It looks like reality has caught up with the token bills.

From what I’m seeing in enterprise use cases and the breakout open-source frameworks, the "Society of Mind" loop where agents gossip with each other is mostly dead for practical work. Instead, production systems are stripping things down to single-agent architectures with strict, deterministic code loops (think LangGraph state machines or the Claude Agent SDK loop).

The big issues everyone seems to run into with large multi-agent setups:

• Token Cascades: One agent misunderstand a prompt, a second agent tries to correct it, a third halluncinates a fix, and suddenly you’ve burned through $4 worth of tokens to output absolute garbage.
• Debugging Nightmares: Trying to trace the exact moment a variable corrupted when 4 agents are dynamically shifting state across an open-ended loop is painful.
• The "Meeting That Could Have Been an Email" Effect: Passing context back and forth between models takes time and introduces latency that users hate.

The successful deployments seem to treat the LLM as a single, powerful engine inside a very rigid, code-defined container. The structure handles the routing, the validation, and the memory—not a second AI agent trying to act like a manager.

Curious to get the room's take

I’m running out of ideas here. The last two days, my laptop fan has been blasting at maximum speed continuously—literally sounds like a jet engine ready for takeoff.

The weird part? The machine is completely idle.

I checked Task Manager, and CPU usage is sitting comfortably between 4% and 8%. RAM usage is normal, and GPU is at 0%. I’m not running any games or heavy software in the background. The laptop chassis doesn't even feel physically warm to the touch.

Specs:

• OS: Windows 11 Home (23H2)
• Laptop: HP EliteBook
• Specs: Intel i5, 16GB RAM

What I’ve tried so far:

• Restarted the machine multiple times.
• Checked for and installed all pending Windows Updates.
• Opened Task Manager to kill hidden processes (nothing is hogging resources).
• Changed Windows power plan from "High Performance" to "Balanced / Power Saver"—no change.

Before I go out and buy a precision screwdriver set to open up the back panel and check for dust or repaste it, could this be a software/driver glitch? Has anyone dealt with a rogue Windows update or BIOS bug that messes up the fan speed controller curves like this?

Any suggestions on what to troubleshoot next would be a massive lifesaver. Thanks!

Hey everyone,

I am looking for a few reliable taskers to help with a straightforward engagement project involving posting and commenting

Requirements:

• Your account must have a minimum of 200 karma .
• Accounts must be active and in good standing (no shadowbans or heavy spam history).
• Ability to follow simple guidelines
• Reliable communication and ability to meet brief turnaround times.
• JOIN MY TELEGRAM CHANNEL REDDITO TASK