WORKFLOWS & BUILD
Practical AI systems, explained through evidence and real engineering choices.
A fluent answer is not proof that an agent can choose the right tool, respect a boundary or recover from failure. Learn how to evaluate the job, record traces, test failures and grant authority only when the evidence supports it.
News & Signals
Open protocols are moving agent systems away from one-off integrations. These reports explain what changed, what remains unsettled and what builders should verify.
NEWS & SIGNALS
Two model routes have different endings: one moves to paid pricing, the other stops. The practical decision also includes privacy, fallback behaviour and tool costs.
NEWS & SIGNALS
A free route to Nemotron 3.5 Lightning invites experimentation. The useful story is what the model can do—and which inputs do not belong in that trial.
NEWS & SIGNALS
A2A 1.0 gives independent agents a shared model for discovery, tasks, messages and artifacts. The hard part is deciding when collaboration is worth its cost and risk.
EDITOR’S PICKS
Featured guides
Four practical starting points for evaluating AI systems, workflows and local hardware without hiding the trade-offs.
Workflows & Build
Long-running agents fail when their working context becomes noisy, stale or incomplete. Context engineering treats attention as a managed system resource.
AI Hardware, Reviews & Research
Compare five compact local AI systems by memory, bandwidth, software, networking, service, price and actual availability as of September 2026.
Workflows & Build
Evaluate the decision path, tool use and failure handling — not only the final answer — before an AI agent receives real authority.
AI Hardware
NPUs can make supported on-device AI efficient, but model compatibility, memory and software matter more than the label on the laptop.
START HERE
Build systems that remain inspectable.
Stariy.com turns promising demonstrations into bounded, testable and reversible systems.
Evidence
Keep sources, dates and assumptions visible.
Boundaries
Match authority to the consequences of failure.
Recovery
Design monitoring, approvals and rollback from the start.
Explore the system
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ABOUT THE PUBLICATION
Independent analysis for people building real AI systems.
Stariy.com is an independent publication by Stanislav Yanchenko about practical AI systems, agent workflows, infrastructure and evidence-based technology decisions. Sources, dates, assumptions and limitations stay visible so readers can distinguish a useful method from a temporary product claim.
