Notes on agents
that replace real work.
Practical thinking from the build floor: Microsoft Graph, retrieval, approvals, reporting loops, agent safety, and the implementation lessons behind systems that can actually ship.
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Recent notes
How One Misconfiguration Cost Fidelity $60,000 Daily (And How We Found It)
The story of how one engineer saved Fidelity Investments $22M annually by finding what traditional monitoring tools completely missed.
5 Cloud Waste Patterns Costing Fortune 500 Companies Millions (With Real Data)
After optimizing cloud costs for 7 Fortune 500 companies, these 5 patterns show up every single time. Traditional tools miss ALL of them.
The Storage Tax Nobody Talks About: How $1.3M Disappeared in Azure Storage Operations
Everyone watches compute costs. Nobody watches storage operations. Here is how one misconfigured storage tier cost a healthcare company $1.3M annually.
The Future of Ethical AI in Enterprise: Building Trust Through Transparency
Explore how enterprises can implement ethical AI practices while maintaining competitive advantage and innovation velocity. Real frameworks for responsible AI deployment.
FinOps in 2025: What Actually Changed (And What the Consultancies Will Not Tell You)
After working with Goldman Sachs, NASA, and Fidelity in 2024, here's what REALLY changed in enterprise FinOps—and why Big 4 recommendations are dangerously outdated.
VDI Automation: Scaling Virtual Desktop Infrastructure with AI-Powered Orchestration
Learn how AI-powered automation can transform Virtual Desktop Infrastructure management, reducing operational overhead by 75% while improving user experience and security compliance.
Agent research
Longer-form investigation behind the orchestration, retrieval, and safety decisions that shape delivery.
Multi-agent calendar intelligence: hybrid LLM + CP-SAT for executive scheduling
Executive calendar management represents a constraint satisfaction problem characterized by high dimensionality, conflicting objectives, and dynamic updates. Traditional LLMs fail on complex scheduling (0.6% success on TravelPlanner). This research introduces the Cognitive Temporal Orchestration (CTO) framework—a hybrid architecture integrating heterogeneous LLM orchestration (GPT-5, Gemini 3 Pro, Claude Sonnet 4.5) with CP-SAT constraint programming. Through 81 test scenarios, we demonstrate 100% orchestration success, 100% high-value event identification, and 29.4% cost reduction. Critical analysis reveals 99% of latency originates from LLM inference, fundamentally informing optimization strategies. We validate three cognitive modules establishing a methodology for evaluating evolution from reactive assistants to proactive wealth management systems.
Comparative LLM analysis for clinical decision support: routing across Gemini-3-Pro and GPT-5.1
This comprehensive evaluation of the Vitruviana Hybrid AI Architecture for clinical decision support analyzes model selection patterns, service integration, and clinical outcomes across 100+ automated tests. The hybrid architecture achieved 94.7% system reliability with intelligent task routing, demonstrating 100% optimal routing decisions and directing complex clinical reasoning to Gemini 3 Pro (67% of tasks) and structured tasks to GPT-5.1 (33% of tasks).
Enterprise AI Transformation: A Strategic Framework for 2025-2030
This whitepaper provides enterprise leaders with a comprehensive framework for AI transformation, covering strategy, implementation, risk management, and ROI optimization. Based on real-world deployments across 2,000+ organizations.
Build notes over trend posts.
Astro writes from implementation experience. If a topic is covered here, it is because it changed how an agent, connector, retrieval layer, or workflow boundary should be built.
If a workflow here looks familiar, it may be the first agent to build.
Bring the report, routing loop, search problem, or admin handoff your team keeps repeating.