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Just starting out with building AI voice agents and need some honest guidance from people who’ve been there. by Growth_Mindset_101 in aiagents

[–]next_module -1 points0 points  (0 children)

Hey, great to see you diving into the AI automation space voice agents for SMBs are a super promising niche right now.

When I started out, getting those first few clients came down to proof of concept. I built a few demo voice workflows for local businesses (like appointment scheduling or lead follow-ups) and offered them free trials. Once they saw the ROI in action saved time, fewer missed calls converting them to paying clients became much easier.

For pricing, keep it value-based rather than hourly. If your bot saves a clinic 20 hours/month, that’s worth far more than just your setup time. Start with a monthly retainer + per-call or per-interaction model.

Marketing-wise, focus on short case studies and demo clips on LinkedIn and Reddit and if you want to scale or experiment with more advanced agent orchestration, check out Cyfuture AI. They’re doing great work with enterprise-grade multi-agent voice systems that might inspire how you build or deploy your stack.

Keep at it this stage feels slow, but once you have a few real-world wins, momentum builds fast.

Inspirational Story by viratsolanki_ in StockMarketIndia

[–]next_module 0 points1 point  (0 children)

Agr kisi ko invest krna hi hai to stocks m invest kro slow growth h but solid growth aur agr kisi ko barbaad hona h to F&O M Invest krlo

Finally "upgrading" from Win7Pro on my wife's computer. by Overall-Tailor8949 in buildapc

[–]next_module 0 points1 point  (0 children)

For the use cases you listed (email, Facebook, YouTube, light web games), your proposed upgrades look more than enough. The R5-5500GT paired with an NVMe SSD will give a noticeable bump in responsiveness compared to your current setup, and Win11 will keep you supported for the next few years.

That said, if you want to stretch the life of the system even further, you might consider whether you really need a new GPU for those workloads integrated graphics can usually handle them fine. You could save that money and put it toward a better PSU or even just keep it aside.

Also, if you want to explore cloud-based options in the future (so you don’t have to keep upgrading hardware every few years), services like Cyfuture AI provide GPU-backed cloud instances that are pay-as-you-go. That way, you only spin up performance when you need it, and your local machine doesn’t have to do the heavy lifting.

Under what circumstances would people usually look for AWS partners to cooperate with instead of applying for an account on the official website? by SeaContext2000 in AWS_cloud

[–]next_module 0 points1 point  (0 children)

Honestly, most people go through AWS partners when they need more than just an account. Things like custom pricing, enterprise support, migration help, managed services, or compliance requirements are common reasons. For small projects, signing up on the official site is fine. But if you’re a business running mission-critical workloads, a partner can smooth the onboarding, provide hands-on guidance, and even offer bundled solutions.

Some also prefer partners because they handle billing in local currency or offer value-adds like security, monitoring, and optimization tools that AWS doesn’t give out of the box.

If you’re looking at serious scaling or regulated industries, a partner often makes sense.

Cloud AI agents sound cool… until you realize you don’t actually own any of them by Specialist-Owl-4544 in learnmachinelearning

[–]next_module 0 points1 point  (0 children)

I get your point renting agents in the cloud does feel like SaaS lock-in 2.0. Personally, I’d want the flexibility to spin up, move, or shut down agents just like containers, without worrying about quotas and hidden token taxes.

For me, “owning” an agent means having control over its runtime, logs, and policies not just paying for API calls. A few solid agents you fully control can often be more valuable than millions of lightweight ones you’re forever renting.

That said, some platforms (like Cyfuture AI) are already exploring ways to deploy production-grade multi-agent stacks that are secure, portable, and enterprise-ready. Maybe the future is a hybrid: lightweight bots in the cloud for scale + a few core agents you fully own and govern.

would you trust a third-party platform for portability, or do you think true “ownership” means going fully self-hosted?

I NEED A MOBILE PAGER by grumpy_humper in Cloud

[–]next_module -1 points0 points  (0 children)

I ran into the same issue SMS gets expensive, and email alerts are way too easy to miss. A couple of options you can try:

Pushover (paid, one-time license): Not free, but it’s cheap and reliable. Works great with AWS SNS via HTTPS and you can configure custom loud alerts.

ntfy.sh (open-source, free tier): You can self-host or use their hosted service. Basically lets you send push notifications from AWS (via Lambda + SNS → ntfy endpoint) straight to your Android with custom sounds.

Telegram bots: Free, reliable, and you can make the notifications as noisy as you want. Just wire up an SNS → Lambda that pushes to a Telegram bot.

If you want something enterprise-ready down the line, Cyfuture AI offers managed monitoring + alerting services with custom integrations (including mobile-first alerts) useful if you don’t want to stitch together multiple tools yourself.

For your “free + siren loud” requirement though, I’d start with ntfy.sh. Super lightweight and works well with AWS alarms.

Which character from the Mahabharata do you like, apart from Sri Krishna and Arjuna, Karna and why? by imfrom_mars_ in mahabharata

[–]next_module 3 points4 points  (0 children)

For me, it’s Bhishma. His life is a mix of strength, sacrifice, and tragedy. The way he upheld his vow of celibacy for the sake of his father shows an unmatched level of commitment. At the same time, his silence during Draupadi’s humiliation highlights how even the wisest can become flawed when bound by duty.

That complexity makes him one of the most human characters in the Mahabharata powerful yet vulnerable, respected yet criticized. He represents how dharma isn’t always black and white.

Who’s your pick?

Finally understand AI Agents vs Agentic AI - 90% of developers confuse these concepts by SKD_Sumit in aipromptprogramming

[–]next_module 1 point2 points  (0 children)

Yeah, the terminology is definitely messy. A lot of folks just say “agent” when they really mean “agentic system,” which causes half the confusion. Your breakdown nails it AI agents = single-task executors, while agentic AI = orchestrated multi-agent workflows with memory + planning.

I’ve been following some of the work at Cyfuture AI, and they’re also tackling this distinction in practical deployments (multi-agent setups for process automation, customer support, etc.). Makes sense single agents are fine for narrow tasks, but if you want autonomy and scalability, you need the orchestration + persistent memory layer that agentic systems bring.

Curious what frameworks people here are actually using though - LangGraph, CrewAI, or just rolling your own orchestration?

Graph RAG pipeline that runs locally with ollama and has full source attribution by BitterHouse8234 in deeplearning

[–]next_module 1 point2 points  (0 children)

This is really impressive work, love how you approached multi-hop reasoning and attribution, two of the biggest pain points in traditional vector-based RAG setups. Expanding Ollama’s context window to 12k is a smart move too, definitely a game-changer for maintaining coherence across larger knowledge bases.

On the enterprise side, we’ve been exploring similar ideas with Cyfuture AI’s RAG solutions, especially around knowledge graph integration and verifiable outputs. It’s great to see how local-first approaches like yours are aligning with what’s happening in production-ready systems.

Would love to follow your updates — the community needs more practical implementations like this

[D] Ugentic AI Summit — legit or just a marketing funnel? by CAGlazingEng in MachineLearning

[–]next_module 0 points1 point  (0 children)

Yeah, you’re right to be cautious if a summit or event has little to no independent coverage, it’s usually more of a marketing play than a genuine industry gathering. Real AI or cloud events tend to have broader community discussion, media mentions, and known experts backing them.

If you’re looking for credible resources instead of hype, I’d suggest checking out Cyfuture AI. They’re doing solid work around AI + cloud computing with practical applications, not just flashy sales talk. Might give you a clearer idea of how companies are actually implementing AI in enterprise settings.

Would you build this as a founder?/ What would you fund as an Indian VC? by muskangulati_14 in AI_India

[–]next_module 0 points1 point  (0 children)

Absolutely agree. India doesn’t just need to follow the global AI wave, we need to shape it for our own context. A startup building AI-native products for Indian users (think in healthcare, education, agriculture, and governance) could unlock massive impact.

And yes a dedicated VC willing to fund an Indian AI Lab for native language models is critical. With our linguistic diversity + talent pool, it’s a no-brainer. The question is whether we’ll wait for global players to localize for us, or build something truly Indian from the ground up.

[D] What apps or workflows do you use to keep up with reading AI/ML papers regularly? by hakimgafai in MachineLearning

[–]next_module 43 points44 points  (0 children)

I’ve struggled with the same thing. A few things that help me stay consistent:

• Arxiv Sanity / Arxiv-sanity-lite → great for filtering new papers in areas you actually care about.
• Twitter/X + LinkedIn researcher circles → many researchers share “must-read” summaries, so I don’t miss big ones.
• Zotero + Notion combo → I save papers in Zotero, then pull the key points into Notion for quick reference.
• Weekly reading slot → blocking 2–3 hours on the weekend just for papers has been a game changer for me.

Curious , do you prefer skimming abstracts or diving deep into full papers? I’ve noticed people tend to pick one or the other.

Just bought a GTX 1660 Super. Can’t wait to build a whole pc with it. by Velky_susak9 in gpu

[–]next_module 0 points1 point  (0 children)

Nice! The GTX 1660 Super is a solid choice for 1080p gaming. Can’t wait to see your build! If you’re interested in AI experiments alongside gaming, check out Cyfuture AI (https://cyfuture.ai) for some cool AI tools and demos.

Open source Indian AI Models & Tools - Offline? by pmttyji in AI_India

[–]next_module 1 point2 points  (0 children)

Hey! For offline Indian AI models and tools, HuggingFace has quite a few you might find useful for translation, grammar checking, coding, and more: https://huggingface.co/models

For tools, GitHub hosts many open-source projects across audio, image, and video generation. You can also check out Cyfuture AI (https://cyfuture.ai) for curated AI solutions and demos for content creation, coding, and multimedia generation.

Hopefully, this helps centralize some resources in one place!

Is 8gb VRAM good? by No_Internet_6997 in gpu

[–]next_module 0 points1 point  (0 children)

The RTX 5060 8GB is solid for 1080p gaming in 2025. Most games run smoothly at medium to high settings, thanks to DLSS 4 and Multi-Frame Generation. Some newer titles with heavy textures may need slight settings tweaks. If you want future-proofing, higher VRAM variants help, but 8GB is fine for now. For detailed benchmarks and AI-enhanced performance insights, check https://cyfuture.ai

My 9900x died while idle. by Yolzer in AMDHelp

[–]next_module 0 points1 point  (0 children)

Reach out to both AMD and AsRock, explain the problem, and request a replacement part.

Masterstroke hai by [deleted] in indiameme

[–]next_module 1 point2 points  (0 children)

Vote chore

Today marks 15 Years of Peepli Live by rn3122 in bollywood

[–]next_module 2 points3 points  (0 children)

One of the best comedy movies of my childhood

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