/blog · playbook notes

Notes from the workshop floor.

Slow, careful posts on what we've learned shipping AI-native apps.

From Open Models to Trusted AI Agents: The New Stack for Enterprise Automation

AI is moving beyond standalone chat. The emerging stack combines inexpensive open models, persistent agents, browser automation, modular runtimes, local hardware, and stronger security controls.

Aug 26, 2026Read

5 min

From Open Models to Supervised Agent Workforces

AI development is moving beyond isolated chat sessions and single-purpose demos. The emerging stack combines open models, visual workflows, local inference, multimodal generation, and teams of specialized agents. At the same time, production requirements are becoming clearer: systems need measurable performance, secure infrastructure, human escalation, and reliable connections to enterprise data.

Aug 25, 2026Read

5 min

Building Trustworthy AI Agents from Verification to Local Inference

AI is moving beyond chat interfaces into software development, enterprise workflows, media production, and application operations. The important shift is not simply that models can generate more code or content. It is that AI systems increasingly need to act reliably inside real environments.

Aug 24, 2026Read

5 min

The Agent Stack Is Becoming an Enterprise Infrastructure Problem

AI systems are moving beyond chat interfaces. The most important progress is happening in the infrastructure around models: document pipelines, context databases, developer tools, local hardware, evaluations, and security controls.

Aug 23, 2026Read

5 min

From Chatbots to Governed AI Workers: The New Stack for Persistent Agents

AI systems are moving from conversational interfaces into operational software. They are writing code, managing repositories, controlling computers, coordinating workflows, and, in some cases, continuing tasks after the user disconnects.

Aug 20, 2026Read

5 min

From Local Inference to Autonomous Action: The New AI Systems Stack

AI progress is increasingly defined by complete systems rather than model benchmarks alone. The emerging stack combines capable models, fast inference, developer tools, secure tool access, polished interfaces, and reliable behavior in difficult environments.

Aug 19, 2026Read

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