Articles on artificial intelligence, AI agents, and strategic technology.
Artificial Intelligence / Agent Frameworks The framework IVE was built on has already had its biggest architectural revision since launch. IVE’s own reference page describes an agent built with Google ADK’s LlmAgent, Runner, and RunConfig — the classical, hierarchical way of building an ADK agent. Since then, Google has shipped ADK 2.0, which replaces that … Read more
Artificial Intelligence / Agent Memory Memory is one of the few parts of agent engineering that now has real benchmarks behind it. It is also one of the few where the benchmark score and the production outcome routinely disagree. A memory system that scores well on a curated test set can still degrade within weeks … Read more
Artificial Intelligence / Agent Security Most guides to securing AI agents talk about prompt injection, jailbreaks, and tool permissions. Almost none of them talk about the database. That is the gap: an agent can have a perfectly scoped set of tools and still read or write any row in your database, because the credential behind … Read more
Artificial Intelligence / Product Engineering Most translation apps quietly assume you have a signal. That assumption breaks exactly when translation matters most — roaming abroad, a weak-coverage building, a rural area with no data plan. Trago is being built around the opposite assumption. The problem, stated plainly Online translation tools depend on a stable connection: … Read more
Artificial Intelligence / Agent Security The Model Context Protocol solved a real integration problem for AI agents. It did not solve authorization — and treating the two as the same thing is how agent deployments get quietly overexposed. The problem MCP actually solves Before late 2024, every AI application that wanted to connect a language … Read more
Intelligence / Flagship An AI agent that cannot prove what it did, when, and under what authorization is not ready to act on anything that matters. This is the problem execution receipts are meant to solve — and it is already built into how IVE’s Verify and Persist steps work today. The problem: agents that … Read more
Gartner forecasts more than 40% of agentic AI projects will be canceled by 2027. We gathered data from Gartner, RAND, Deloitte, McKinsey and IBM on why reliable agentic AI execution is still rare.
Artificial intelligence can accelerate implementation. But speed without independent validation can also accelerate errors, unclear scope and decisions that are difficult to reverse. The engineering challenge is not only to produce code faster. It is to build a process in which intent, implementation, review, testing, evidence and human ownership remain visible. This article describes the … Read more
There’s a seductive illusion in digital business today: the idea that more data and more AI automatically lead to better decisions. They don’t. It isn’t a lack of information that paralyzes most people and teams. It’s the gap between knowing and doing. Between having an insight and turning it into coordinated action. Between … Read more