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Research, releases, and operating notes.

The newest work from our engineering, implementation, and operator teams, published from the same collection that powers every topic page.

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Strategy & Insights

What Are You Really Paying For With AI Consulting? How to Judge the Value Before the Price

AI consulting cost depends on scope, data condition, and support included. Learn what drives return and how to spot a weak proposal before you sign.

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Security Advisory

Critical PHP Security Vulnerabilities: What Website Owners Need to Know and Do Now

Two critical vulnerabilities in PHP (CVE-2026-109618 and CVE-2026-109619), both rated 9.2 out of 10 in severity, could allow attackers to execute malicious code on vulnerable web servers without a username or password. If your organization manages a PHP-based website, immediate action is recommended.

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AI Engineering

Shared memory between AI agents is a state management problem

Shared memory can help multiple AI agents coordinate, but an unstructured common store creates stale context, conflicting updates, and security risk. Learn how to design agent memory as governed production state.

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More from PRESHai

AI EngineeringAug 24, 2026

Your Agent Isn't Done Until It Reports Back

An agent that completes the work but never delivers the outcome has not completed anything. The report-back is a first-class step in the harness, with the same engineering rigor as the task itself. Here is how to build it.

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AI & AutomationAug 12, 2026

Your AI Agent Is Not Safe Just Because the Prompt Says So

AI agents move too fast for prompt-based safeguards and endless approvals. Production autonomy requires scoped access, auditability, hard stops, and rollback.

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AI EngineeringAug 7, 2026

Agent Plugin 1.0 - A Unified Framework for Agent Plugins

Agent Plugins is a new open, vendor-neutral spec for packaging Agent Skills and MCP servers into portable plugins, backed by Amazon, Cursor, Microsoft, OpenAI, Vercel, and now Google. Here is what the format actually does, who is behind it, and why our agent harnesses, including PRESHos, support it.

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AI & AutomationAug 3, 2026

The AI Fallback Plan That Works Under Pressure

A fallback plan belongs inside every AI workflow that matters to the business. Build the route, name the owners, and test the handoff while the stakes are low, not during an outage.

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AI & AutomationAug 3, 2026

Your AI Strategy Needs an Exit Plan

A company that brings an AI provider deep into the business needs an exit path from the first conversation: who controls the policy layer, who owns the data path, and how to keep the ability to choose the next turn.

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AI EngineeringJul 8, 2026

Agent RBAC: Five Ways to Scope What an Agent Can Do (And When to Use Each)

Role-based access control for agents is not user RBAC with a new label. An agent acts, so its permissions are a matrix of what it can see, suggest, and execute. Here are the five strategies, when each fits, the tradeoffs, and how to implement them in Claude Code, Codex, and your own harness.

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