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Faris Asmar · Sage AI
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Daily (ET)
| 1:00 AM | Nightly research → brief saved locally IT Infrastructure · Cybersecurity · Cloud Platforms · NetDevOps · AI in Infrastructure · Hardware & GPU · Network Monitoring · MSP · IT Vendor & M&A · Edge & IoT |
| 2:00 AM | Reading insights generate (silent) → staged for 7:05 AM email goodreads_insights.py — pulls from Faris's library, generates in his voice |
| 6:55 AM | Zoho data refresh → Mission Control (silent) |
| 7:00 AM | Morning BOOP → Telegram overnight trades, open positions, system health, unread emails |
| 7:00 AM | Industry intelligence brief → farisasmar@hotmail.com |
| 7:05 AM | Daily reading insights → farisasmar@hotmail.com & Muna_ers@hotmail.com |
| 7:00 PM | Nightly wrap → trading snapshot saved locally |
| 7:00 PM | Trading intelligence review → Telegram strategy scorecard, coin rankings, risk analysis, weekly progress |
Weekly
| Sun 6:45 AM | Weekly synthesis → farisasmar@hotmail.com 3 signals, 5 takeaways from week's research |
| Tue / Thu | LinkedIn publish → 8:00 AM ET on-demand: Faris picks story from morning brief → Sage generates post → approval → auto-posts |
| 1st of month | Goodreads export reminder → Telegram |
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| Every 10 min | MC content refresh (Quick Stats, Intel Brief, Health, Reading Insights) + deploy |
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Tuesday
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Thursday
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This Week's Posts
Cynora Services Matrix — Content Reference
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Reading Insights
📚 Daily Reading Insights
May 16, 2026 — 3 books from your library
The Five Dysfunctions of a Team: A Leadership Fable
by Patrick Lencioni
Lencioni's core argument is that trust, specifically the kind that comes from psychological vulnerability, sits at the base of every functional team, and without it, every layer above collapses. People who can't admit weakness or mistake to their teammates won't engage in real debate, and without real debate, commitment becomes performance rather than conviction. The fable format makes the structure feel obvious in hindsight, which is the point. The sharpest claim in the book is that most team dysfunction gets misdiagnosed as personality conflict or communication problems when it's actually a structural absence of accountability norms. Accountability peer-to-peer, not just top-down, is what separates teams that execute from teams that manage optics. The 4/5 rating feels right because the model is genuinely useful but the fable wrapper can obscure how hard each layer is to actually build.
The Book on Investing In Real Estate with No (and Low) Money Down: Creative Strategies for Investing in Real Estate Using Other People's Money
by Brandon Turner
Turner's central mechanism is that capital constraint forces creative deal structure, and deal structure, not the asset itself, is where most of the leverage lives in real estate. Seller financing, subject-to deals, lease options and private money are each tools for separating ownership of the asset from ownership of the capital required to acquire it. The critical insight is that most people treat the purchase price and the financing as one problem when they're actually two independent problems that can be solved separately. Turner makes a strong case that relationships with motivated sellers and private lenders are the actual moat, because those relationships unlock deal structures that never hit the open market. The book treats creativity in financing as a learnable skill rather than a lucky circumstance, which reframes the entire entry barrier into real estate investing.
Rich Dad's Escape from the Rat Race: How to Become a Rich Kid by Following Rich Dad's Advice
by Robert T. Kiyosaki
Kiyosaki's foundational claim, the one that cuts through everything else, is that the school system trains people to be employees, and employees are structurally dependent on a system that benefits from their dependence. The rat race concept works because it describes a self-reinforcing loop: earn, spend, need more income, work harder, repeat, with no mechanism built in for exit. The asset versus liability distinction is deliberately simple but the simplicity is the point, because most people carrying liabilities they call assets, homes, cars, consumer debt, are making the same category error repeatedly without language to name it. What the book does well, especially in this condensed version, is treat financial literacy as something withheld rather than something complex. That framing shifts the problem from intelligence to access, which is a more honest diagnosis of why most people stay stuck.
Sage Intelligence Brief
🧠 Intelligence Brief
10 Research Domains
IT InfrastructureCybersecurity & ComplianceCloud PlatformsNetDevOps & AutomationAI in InfrastructureHardware, GPU & NetworkingNetwork MonitoringManaged Service ProvidersIT Vendor Ecosystem & M&AEdge Computing & IoT===========================================
SAGE INTELLIGENCE BRIEF
Saturday, May 16, 2026
===========================================
LEAD STORY
AI agents can now write working exploits, not just flag vulnerabilities. Mythos and GPT-5.5 are leading that capability according to new research out this week. Pair that with Git infrastructure already straining under AI-generated code volume and you've got two compounding pressures hitting the development and security stack simultaneously. This is the week the "AI accelerates attackers" story moved from theoretical to demonstrated.
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IT INFRASTRUCTURE ARCHITECTURE
Git is buckling under AI coding agents
GitHub's architecture wasn't designed for the commit velocity AI agents are generating. We're talking about a qualitative change in traffic patterns, not just more of the same. If your teams are running AI coding assistants at scale, start thinking about what that does to your CI/CD pipeline throughput and repo storage costs.
Source: https://www.theregister.com/devops/2026/05/15/git-is-unprepared-for-the-ai-coding-tsunami/5241480
Data center power costs jumped 75% in PJM's market
The largest US energy market saw prices spike 75% driven by data center demand. Hyperscalers are now looking at co-located or dedicated power generation to escape grid pricing. For anyone modeling cloud cost trajectories, this is a structural input cost increase that will work its way into pricing.
Source: https://www.theregister.com/on-prem/2026/05/15/datacenters-slurping-juice-help-drive-75-jump-in-pjm-power-prices/5241491
Discord's March voice outage traced to a circular dependency
Discord published their postmortem. A hidden circular dependency in their service graph took down voice for a significant portion of users. The failure mode was invisible until load exposed it. Worth reading if you're doing any microservices architecture work, because this is exactly the category of bug that doesn't show up in unit tests.
Source: https://www.infoq.com/news/2026/05/discord-circular-dependency/
Microsoft launches a driver stability initiative
Microsoft is moving to put more guardrails around driver quality after years of driver-related BSODs and instability complaints. The UI changes get the headlines but the driver certification work is what actually matters for enterprise fleet stability. Watch how this plays out across OEM partnerships over the next two quarters.
Source: https://www.theregister.com/oses/2026/05/15/microsoft-puts-stability-in-the-drivers-seat-with-new-initiative/5241381
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CYBERSECURITY & COMPLIANCE
Exchange Server OWA flaw is being actively exploited
This one's operational right now. Attackers are using a flaw in Exchange Server to turn Outlook Web Access inboxes into script execution launchpads. Microsoft has a mitigation available but it breaks inline image rendering and calendar printing. The proper patch isn't out yet. If you've got on-prem Exchange in any customer environment, this needs attention this weekend, not Monday morning.
Source: https://www.theregister.com/on-prem/2026/05/15/exploited-exchange-server-flaw-turns-owa-inboxes-into-script-launchpads/5241150
AI agents are now building functional exploits
Research published this week shows AI models, specifically Mythos and GPT-5.5, can generate working exploit code, not just identify where vulnerabilities exist. The gap between "AI finds a bug" and "AI weaponizes the bug" has closed. Your threat model needs to account for dramatically compressed time-to-exploit windows.
Source: https://www.theregister.com/ai-ml/2026/05/15/ai-agents-show-they-can-create-exploits-not-just-find-vulns/5241453
Fourth Linux kernel flaw this month, this one leaks SSH host keys
Qualys flagged it. The vulnerability can lead to SSH host key theft, which is a serious credential exposure path in any Linux-heavy environment. A patch exists but isn't available across all distros yet. Audit your Linux server inventory and track which distros are covered. Prioritize anything internet-facing or managing sensitive workloads.
Source: https://www.zdnet.com/article/qualys-flags-a-linux-kernel-security-issue-that-could-lead-to-stolen-ssh-keys/
Google's API fraud victims got reimbursed but Google won't fix auto-expanding budgets
Google quietly reimbursed sources who got hit by API fraud after Register coverage. The underlying behavior, where Google auto-expands API spending limits, is still in place. If you're managing GCP environments or any client running Google APIs, check whether budget caps are actually hard caps or soft recommendations. There's a real exposure here.
Source: https://www.theregister.com/devops/2026/05/15/google-reimburses-register-sources-who-were-victims-of-api-fraud/5241429
---
CLOUD PLATFORMS & STRATEGY
Cloudflare Workflows V2 ships with deterministic execution
Cloudflare rebuilt their workflow orchestration engine. V2 supports deterministic, replayable execution and scales to 50,000 concurrent workflows. For anyone building event-driven automation or serverless orchestration on Cloudflare's stack, this is a meaningful architectural improvement. Deterministic replay is the feature that makes debugging distributed workflows actually tractable.
Source: https://www.infoq.com/news/2026/05/cloudflare-workflows-v2-release/
Anthropic's Claude Code gets automated Routines
Anthropic shipped a Routines feature for Claude Code that lets developers configure recurring, automated coding workflows. This moves Claude from interactive assistant to autonomous agent operating on a schedule. The integration and access control story around AI coding agents running unattended is something every org needs to think through before deployment.
Source: https://www.infoq.com/news/2026/05/anthropic-routines-claude/
AI agents benchmarked on Kubernetes, results are mixed
A CNCF-published study tested AI coding agents against Kubernetes environments. The agents handled isolated, well-scoped bugs reasonably well. Complex, multi-component issues are still beyond reliable autonomous resolution. Useful calibration data if you're evaluating where to deploy AI agents in your ops workflows versus where you still need human judgment in the loop.
Source: https://www.infoq.com/news/2026/05/ai-agents-kubernetes-rag/
---
AI IN INFRASTRUCTURE & AIOPS
AI as a thinking partner for large-scale engineering, not just a code generator
Julie Qiu's presentation at InfoQ covers five distinct roles AI can serve for engineering leaders: architect, advisor, analyst, author and assistant. The framing matters because most orgs are still using AI as a fancy autocomplete. The teams getting real leverage are treating it as a systems-level thinking tool. Worth watching if you're figuring out how to embed AI into engineering practice beyond the IDE.
Source: https://www.infoq.com/presentations/ai-large-scale-engineering-systems/
Anthropic is lobbying hard for US chip and model export controls before 2028
Anthropic went to Washington with a clear message: restrict China's access to frontier AI models and chips before 2028 or risk ceding the rules of the road to authoritarian governments. This is vendor positioning but it's also real policy advocacy. The outcome of this debate shapes what AI infrastructure looks like globally for the next decade.
Source: https://www.theregister.com/ai-ml/2026/05/15/anthropic-urges-uncle-sam-to-kneecap-chinas-ai-ambitions-before-2028/5241201
AI agents creating exploits, detailed
Covered in cybersecurity above but worth flagging again from an AIOps angle. The same agent capabilities being sold as vulnerability scanners are now demonstrably capable of generating attack code. The dual-use nature of these tools is going to drive compliance and procurement conversations faster than most security teams are ready for.
Source: https://www.theregister.com/ai-ml/2026/05/15/ai-agents-show-they-can-create-exploits-not-just-find-vulns/5241453
---
HARDWARE, GPU & COMPUTE
Data center power costs are becoming a hardware procurement variable
The 75% PJM price spike is pushing hyperscalers toward bring-your-own-power models for AI compute facilities. For enterprise buyers, this signals continued upward pressure on cloud GPU instance pricing. Anyone running workloads on reserved capacity should be looking at their renewal windows carefully.
Source: https://www.theregister.com/on-prem/2026/05/15/datacenters-slurping-juice-help-drive-75-jump-in-pjm-power-prices/5241491
Nothing in the feed tonight on specific firewall or switching hardware releases. Monitoring for Cisco, Palo Alto, Fortinet, Juniper and Arista announcements, nothing confirmed this cycle.
---
NETWORK MANAGEMENT & MONITORING
Nothing in tonight's feed directly covering RMM platforms, PSA tools or network monitoring vendors. No confirmed announcements from NinjaRMM, ConnectWise, Datto, N-able, SolarWinds, Datadog or Dynatrace this cycle.
---
MANAGED SERVICE PROVIDERS
Decentralized architecture is becoming an MSP delivery pressure point
InfoQ's minibook on architecting autonomy inside organizations is aimed at enterprise teams, but the dynamic applies directly to MSPs. As AI accelerates delivery cycles, centralized architecture governance becomes a bottleneck. MSPs that are still running every technical decision through a single architect or CTO are going to feel this. The ones distributing decision authority with clear guardrails will move faster.
Source: https://www.infoq.com/minibooks/architecting-autonomy/
AI coding automation changes what clients expect from managed development services
Anthropic's Routines feature for Claude Code is one signal in a broader trend. Clients are starting to understand that AI can run automated, scheduled coding tasks. That changes the conversation about what they're paying for when they engage managed development or DevOps services. MSPs with any software delivery in their portfolio need a clear answer to "what does your team do that the AI doesn't."
Source: https://www.infoq.com/news/2026/05/anthropic-routines-claude/
---
IT VENDOR ECOSYSTEM & M&A
Google holds firm on auto-expanding API budgets despite fraud reimbursements
Google paid back the people who got burned, but the policy that enabled the fraud is still in place. This is a vendor accountability story. Google is making a calculated bet that the friction of hard budget caps costs them more in developer experience than the fraud liability costs them in reputational terms. Procurement teams running GCP should treat this as a governance gap and implement their own hard controls.
Source: https://www.theregister.com/devops/2026/05/15/google-reimburses-register-sources-who-were-victims-of-api-fraud/5241429
Microsoft's driver stability initiative signals a platform maturity push
This is part of a broader Microsoft pattern: after years of feature velocity, there's organizational pressure to shore up reliability. The driver initiative, combined with Windows quality improvements in recent builds, suggests the platform team is responding to enterprise complaints. Good signal for orgs managing large Windows fleets, but track whether it actually translates to fewer patch-related incidents over the next two quarters.
Source: https://www.theregister.com/oses/2026/05/15/microsoft-puts-stability-in-the-drivers-seat-with-new-initiative/5241381
---
EDGE COMPUTING & IOT
Nothing in tonight's feed with direct edge computing or OT/IoT enterprise relevance. Monitoring for 5G private network, industrial IoT and edge AI deployments. Nothing confirmed this cycle.
---
WHAT TO WATCH
The AI exploit generation story is the one to track closely this week. The moment AI moves from vulnerability discovery to exploit creation is the moment the offensive security economics change permanently. Expect this to accelerate conversations around AI use policies, model access controls and the regulatory frameworks that govern AI-assisted security tooling. This is a months-long story, not a one-week news cycle.
---
CONVERSATION STARTER
AI agents benchmarked on Kubernetes can reliably fix isolated, well-scoped bugs but fail on complex multi-component issues. That's your calibration point for any executive asking whether AI can replace senior ops engineers. Narrow tasks, yes. Judgment-dependent ones, not yet.
===========================================
Cynora — Zoho Intelligence
Cynora — Zoho Intelligence
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63Trading — Paper Pilot
📈 Trading — Pilot v2 (Regime Adaptive)
LIVE
↻ May 11, 2026 11:40 UTC
Portfolio Value
$3,184.00
Started $3,184.00
Gross P&L
$+0.00
0 closed trades
Total Fees
-$0.00
Entry & exit combined
Net P&L (After Fees)
$+0.00
Take-home profit
Return
+0.00%
vs starting capital
Win Rate
0%
0W / 0L
Today's P&L
$+0.00
Week 1: $+0.00
Avg P&L / Trade
$+0.00
Profit factor: 999.00x
Cash Available
$3,184.00
0 positions open ($0)
REGIME ADAPTIVE
BTC + ETH only nbsp;· nbsp; Bull: Donchian 20d breakout nbsp;· nbsp; Neutral: RSI lt;33 dip buy nbsp;· nbsp; Bear: hold cash
60% per trade · 8% stop · Trailing @+7%
Portfolio Performance
cumulative P&L by day
May 10 $3,184
Now $3,184.00 (+0.00%)
Open Positions
0 open · $0 deployed
| Symbol | Strat | Qty | Entry | Current | Stop | Risk $ | Ret% | Unrealized P&L | Status |
|---|---|---|---|---|---|---|---|---|---|
| No open positions | |||||||||
Strategy Breakdown
closed trades only
| Strategy | Trades | W | L | Win% | Avg W | Avg L | Gross P&L | Fees | Net P&L |
|---|
Recent Trades (last 20)
🔄 trailing 🛑 hard stop ⚖️ breakeven 🎯 target
| Symbol | Strat | Qty | Entry | Exit | Ret% | Gross P&L | Fee | Net P&L | Exit | Date |
|---|
Daily P&L
bar scale = $50
| Date | Results | Bar | Gross P&L | Fee | Net P&L |
|---|
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