An LLM agent with a million-token window still forgets what you told it last week. Memory is not a bigger context; it is a separate system that decides what to write down, how to summarize it, and what to pull back. Here is how t…
A static agent pipeline is a diagram you draw before you know the task. A dynamic workflow is a program the agent writes once it sees the task, then runs deterministically. The difference reshapes how fan-out, verification, and c…
Every major enterprise vendor now sells a way to build AI agents, and they are not competing on the same axis. The real choice is not which product is best. It is how much control you are willing to trade for how much convenience.
The dream of automating office work is older than the personal computer. Tracing the line from VisiCalc through RPA to LLM agents reveals a recurring lesson: the tools that record steps break, and the tools that pursue goals are …
Most agent frameworks treat state as an afterthought, tacking memory onto a chain of LLM calls. LangGraph inverts the design: the graph is the state machine, every node transition is checkpointed, and cycles are first-class citiz…
Microsoft has renamed its AI development platform three times in three years, from Azure AI Studio to Azure AI Foundry to Microsoft Foundry. Behind the branding churn is a genuinely ambitious consolidation: 1,900+ models, a manag…
Before MCP, connecting five agents to twenty tools meant writing a hundred bespoke adapters. A protocol turns that multiplication into an addition, and the math is the whole story.
A single agent burns about 4x the tokens of a chat. A multi-agent system burns about 15x. The whole question of orchestration is whether the extra agents buy you accuracy worth more than that bill, and four named patterns decide …
Fifty-seven percent of organizations now run AI agents in production, yet quality remains the top deployment barrier. This is the field guide for the engineers shipping those systems: frameworks compared, patterns catalogued, fai…
Test-time compute makes models smarter but slower and pricier. Sleep-time compute moves the thinking to before the user asks, cutting the compute needed for the same accuracy by roughly 5x and the cost per query by 2.5x when cont…
A frontier model can write a function. An agentic runtime can read a codebase, plan a migration, edit forty files, run the tests, fix what broke, and open a pull request. The difference is not intelligence; it is the system that …
Anthropic stopped shipping a chatbot and started shipping an ecosystem. From Artifacts to Cowork to Design, the through-line is the same: move the model out of the chat box and into the work. For marketing teams, that change is n…