Joined March 2026
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1/ Spent today turning my AI influencer into a hands-off operation. Christian Guzman runs himself now. Here's what I built and why it matters:
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Sam Jak AI retweeted
I already won today's games. Doesn't matter who plays well. Doesn't matter what the line moves to. Doesn't matter if the favorite holds. 19 plays placed in 50 minutes this afternoon. Every result locked at placement. That's not a prediction. That's hedge math. Thread of every play 👇 @OddsJam → bonusconversions.com/oddsjam
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1/ Spent today turning my AI influencer into a hands-off operation. Christian Guzman runs himself now. Here's what I built and why it matters:
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4/ The leverage isn't the time saved on one account. It's that the same stack ports to the next AI influencer for free. Onboarding next. Then sportsbook accounts. Then whoever else. 10 influencers, 0 VAs.
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5/ The build: Multilogin (anti-detect browser) Selenium (browser automation) Buffer (comment aggregation) Claude (drafting classification report) Python scheduled tasks (the loop) Day 1 of automating myself out of the bottleneck. Full system shipped. Worth a thousand morning standups.
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Spent today teaching a bot to see the whole board. It used to only look at one exchange. Now it scans three, trades both sides, and locks profit wherever prices move first. The edge was always there. It just wasn't looking in the right places. Building in public. More soon. 🔨
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20M paid Copilot users proves something I see with every enterprise rollout: adoption hinges on solving real workflow pain. The companies getting the highest engagement rates aren't pushing Copilot everywhere at once. They start with specific use cases where people are already frustrated with repetitive tasks. I've watched teams go from skeptical to dependent within weeks once they see Copilot handle their actual daily grind. Email drafting, code reviews, document summarization for roles that live in those workflows. What's driving the strongest Copilot adoption in your organization? techcrunch.com/2026/04/29/mi…
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Teams agent registration just got stupid simple with coding agents. I've walked dozens of enterprise clients through agent deployment, and the manual setup process was always the bottleneck. Registration, manifest files, app IDs — it's where most proof-of-concepts stalled out. Now you can literally prompt your way from concept to working Teams agent. The coding agent handles the registration dance automatically, which means your developers spend time on business logic instead of Azure portal gymnastics. This changes the timeline for enterprise AI pilots from weeks to days. What's been your biggest friction point getting Teams agents into production? devblogs.microsoft.com/micro…
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CVE-2026-32173 just proved that AI chat streams are the new gold mine for attackers. A single researcher steered an Azure AI agent and could suddenly eavesdrop on any user's conversations, including internal reasoning and tool calls. This isn't theoretical anymore. I've been warning enterprise clients that AI governance can't be an afterthought. Most organizations I work with are rushing AI deployments without proper isolation controls or stream monitoring. The attack surface just expanded beyond what most security teams are prepared for. What's your current approach to isolating AI workloads from each other? x.com/techopsasia/status/204…

A researcher just discovered CVE-2026-32173 by steering a single AI agent on Azure. The flaw: anyone could listen in on another user's AI chat stream, including the model's internal reasoning, commands, and tool calls. This is the new attack surface.
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The "Teams vs ServiceNow" debate misses the real enterprise challenge. Most IT leaders think they need to pick a side and retrain their entire organization. I've watched companies spend months forcing adoption of new workflows when the solution was right in front of them. Copilot Studio lets you build dual agents that work natively in both environments. Your ServiceNow power users stay in ServiceNow. Your Teams-first employees never leave Teams. Same backend logic, zero behavior change. The architecture is surprisingly elegant once you map the conversation flows properly. What's the biggest workflow disruption you've seen from forcing tool consolidation? x.com/MMe2K/status/204573987…

Teams OR ServiceNow? Wrong question. 🚫 Built ITSM automation with Copilot Studio that gives you BOTH! Two agents. Zero behavior change. 🚀 📌 #NeverStopLearning 👉 never-stop-learning.de/teams… #CopilotStudio #ServiceNow #Teams #MVPBuzz
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The Copilot hype doesn't match reality for complex document workflows yet. I see this daily with enterprise clients. Copilot shines for email drafting, meeting summaries, and basic content generation. But structured data extraction and spatial analysis? Still needs human oversight at every step. The sweet spot right now is using Copilot for ideation and first drafts, then leveraging Power Platform or custom solutions for the heavy lifting. Don't abandon your existing automation just because there's an AI option. What's your experience been with Copilot for actual business-critical tasks? x.com/warwickmansell/status/…

Endless hype about AI.But my attempts to try to use it (Microsoft Copilot) in recent weeks for things like data extraction from docs, plotting things on maps etc show lots of errors, dead-ends, misleading indications that then need retraction, etc. Just not very reliable, as yet.
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CVE-2026-32173 just proved that AI chat streams are the new gold mine for attackers. A single researcher steered an Azure AI agent and could suddenly eavesdrop on any user's conversations, including internal reasoning and tool calls. This isn't theoretical anymore. I've been warning enterprise clients that AI governance can't be an afterthought. Most organizations I work with are rushing AI deployments without proper isolation controls or stream monitoring. The attack surface just expanded beyond what most security teams are prepared for. What's your current approach to isolating AI workloads from each other? x.com/techopsasia/status/204…

A researcher just discovered CVE-2026-32173 by steering a single AI agent on Azure. The flaw: anyone could listen in on another user's AI chat stream, including the model's internal reasoning, commands, and tool calls. This is the new attack surface.
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Multi-tenant isolation becomes critical when AI agents can essentially eavesdrop across sessions. Are you seeing similar cross-talk vulnerabilities in other cloud AI services? (re: x.com/techopsasia/status/204…)

A researcher just discovered CVE-2026-32173 by steering a single AI agent on Azure. The flaw: anyone could listen in on another user's AI chat stream, including the model's internal reasoning, commands, and tool calls. This is the new attack surface.
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Token-based vulnerabilities in AI agents are becoming the new attack vector of choice - proper rotation and scoping policies are critical but often overlooked in rapid deployments. Are you seeing orgs implement zero-trust principles for their AI workloads yet? (re: x.com/AndreGironda/status/20…)

Token flaw turns Azure AI agent into a spy -- bankinfosecurity.com/token-f…
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RAG-powered document workflows are game-changing when they can actually reason about context across multiple document types simultaneously. Are you covering cross-modal intelligence scenarios in the session? (re: x.com/AzureUG_Eldoret/status…)

📄 Multi‑Agent Document Intelligence in Azure AI Foundry ✨Discover how RAG meets autonomous workflows! 📅 Thur May 7 ⏰8–9 PM EAT 🔗 Register: luma.com/c5e4bgge #AzureAI #UserGroupEldoret #AI
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The governance-first approach is what separates successful enterprise AI rollouts from the chaos we saw with early ChatGPT implementations. Are you covering the compliance frameworks that actually stick post-pilot? (re: x.com/MSFTReactor/status/204…)

🚀 Crossing the AI Horizon AI pilots are done—now it’s time to scale. Join our livestream to learn how enterprises use Microsoft 365 Copilot, Azure AI Foundry, and Agent 365 to scale AI with governance built in from day one. 📅 28 Apr 2026 | 1:30–3:00 PM (UTC 10) msft.it/6018QAvny #EnterpriseAI #AIInfrastructure #AzureAI #Microsoft365Copilot #AIGovernance #CIO #Livestream
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Auth placement bugs like this highlight why defense-in-depth matters more than ever with AI agents accessing sensitive data streams. What patterns are you seeing in similar multi-layer auth failures? (re: x.com/Yanir_/status/20463173…)

I've discovered CVE-2026-32173 by steering a single agent The vuln: you could listen to anyone's AI chat stream on Azure SRE agent. Including LLM thinking, commands, tools. The auth check was there, but at the wrong place. Patched. Critical, Information Disclosure. $20k bounty
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As I work with Azure customers, I've observed similar concerns around AI chat stream security, what mitigation steps are effective? (re: x.com/techopsasia/status/204…)

A researcher just discovered CVE-2026-32173 by steering a single AI agent on Azure. The flaw: anyone could listen in on another user's AI chat stream, including the model's internal reasoning, commands, and tool calls. This is the new attack surface.
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