Emil Ivov

This morning’s deep dive into Quality of Service (QoS) was a clear reminder of how essential it is to maintain performance and reliability in networked systems. what i deducted · QoS isn’t just about bandwidth—it’s about intelligently prioritizing traffic to ensure critical applications run smoothly, especially under load. · Mechanisms like traffic classification, queuing, and policing help manage delay, jitter, and packet loss. · Without QoS, voice, video, and real-time data can degrade, impacting user experience and business operations. In today’s hybrid and cloud-heavy environments, implementing thoughtful QoS policies is no longer optional—it’s foundational for consistent service delivery. What strategies are you using to manage network performance? #QualityOfService #QoS #Networking #ITInfrastructure #NetworkManagement #TechLearning

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I’ve been experimenting with ways to bring AI into the everyday work of telco — not as an abstract idea, but as something our teams and customers can use. On a recent build, I created a live chat agent I put together in about 30 minutes using n8n, the open-source workflow automation tool. No code, no complex dev cycle — just practical integration. The result is an agent that handles real-time queries, pulls live data, and remembers context across conversations. We’ve already embedded it into our support ecosystem, and it’s cut tickets by almost 30% in early trials. Here’s how I approached it: Step 1: Environment I used n8n Cloud for simplicity (self-hosting via Docker or npm is also an option). Make sure you have API keys handy for a chat model — OpenAI’s GPT-4o-mini, Google Gemini, or even Grok if you want xAI flair. Step 2: Workflow In n8n, I created a new workflow. Think of it as a flowchart — each “node” is a building block. Step 3: Chat Trigger Added the Chat Trigger node to listen for incoming messages. At first, I kept it local for testing, but you can later expose it via webhook to deploy publicly. Step 4: AI Agent Connected the trigger to an AI Agent node. Here you can customise prompts — for example: “You are a helpful support agent for ViewQwest, specialising in broadband queries – always reply professionally and empathetically.” Step 5: Model Integration Attached a Chat Model node, plugged in API credentials, and tuned settings like temperature and max tokens. This is where the “human-like” responses start to come alive. Step 6: Memory Added a Window Buffer Memory node to keep track of context across 5–10 messages. Enough to remember a customer’s earlier question about plan upgrades, without driving up costs. Step 7: Tools Integrated extras like SerpAPI for live web searches, a calculator for bill estimates, and even CRM access (e.g., Postgres). The AI Agent decides when to use them depending on the query. Step 8: Deploy Tested with the built-in chat window (“What’s the best fiber plan for gaming?”). Debugged in the logs, then activated and shared the public URL. From there, embedding in a website, Slack, or WhatsApp is just another node away. The result is a responsive, contextual AI chat agent that scales effortlessly — and it didn’t take a dev team to get there. Tools like n8n are lowering the barrier to AI adoption, making it accessible for anyone willing to experiment. If you’re building in this space—what’s your go-to AI tool right now?

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Comcast is happy to support OpenSSL Foundation work on DTLSv1.3 via a grant from the Comcast Innovation Fund! DTLS is a secure transport protocol that is particularly important for live video streaming. The OpenSSL Library currently implements DTLS versions 1.0 and 1.2. In 2022, the IETF published DTLSv1.3, which provides applications access to post-quantum cryptographic security and privacy features." #DTLS #TLS #Encryption #ComcastInnovationFund #OpenSSL #OpenSSLFoundation #PostQuantumCryptography https://lnkd.in/e-FhDDcB

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Don't forget we are now 3 posts into our 7 or 8 post series called Demystifying the US Messaging Ecosystem. While it is clear that the mobile messaging industry is at a cross-roads, as RCS / RBM has been finally coming to a useful fruition this year and into the next, SMS/MMS most certainly still rules, in terms of messaging volumes and efficacy. Don't miss a post on this important series. The USA market remains the largest carrier messaging market in the world - both for consumer (P2P) and business (A2P) messaging. These are being written to dispel any misconceptions and misinformation regarding this dynamic messaging space. Here's the latest LinkedIn post introducing the 3rd and latest blog post covering The Campaign Registry. https://lnkd.in/ePAxeZHE You can always find the full Demystifying Series here: https://lnkd.in/ehW9GeZ7 #SMS #MMS #TCR #10DLC #DemystifyingMessaging #BusinessMessaging #A2PMessaging #P2PMessaging #AegisMobile #NetNumber #WMCGlobal #CampaignVerify

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Nextlink Internet is now covering 317,000+ locations with 350+ live G2 sectors, and the results speak for themselves. The real game changer here isn’t just the raw throughput. Seeing 950 Mbps over a 9.3-mile NLoS link is impressive, but what matters most is the scalability this platform brings to rural broadband. G2 brings: Seamless interoperability with G1 remote nodes, making migration efficient An additional MIMO stream that adds real capacity Spectral efficiency gains that improve performance and drive ARPU growth This platform just leveled up. Excited to see what Tarana does next on the software side, because the hardware is already delivering. #ngFWA #TaranaG2 #FixedWireless #BroadbandInnovation #ookla #hybridnetworks

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Roksan quietly made a big move with these new Caspian 4G separates. For anyone who’s outgrown an integrated amp but doesn’t want to abandon modern streaming, this combo makes a lot of sense. BluOS, proper phono support, fully balanced architecture, and a power amp that can scale all the way to serious monoblock output. It’s refreshing to see a brand focus on doing the fundamentals right instead of chasing spec-sheet gimmicks. Definitely worth paying attention to if you’re building a long-term system. #Audiophile #HiFi #Roksan #TwoChannel #HighEndAudio

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What’s an idea that changed how you prompt? For me: injecting actual expert frameworks (pulled from public domain) into the process. Not roleplay. Not clever wording. Not “you are an expert prompt engineer.” Actual frameworks that shape the model’s approach and thinking. I did a modular version for prompt engineering that added: • Chain-of-thought for reasoning   • ReAct for action and feedback   • Few-shot for formatting and tone   • Persona for behavioral control   • Critique loops for structured feedback I’m building a system that improves with use and teaches me at the same time. I’ve expanded the idea into sales decks and proposals. What have you been trying?

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