🤖 AI / LLMOps
An Agent Approval UX Playbook
Strong agents do not only automate more. They show clearly when a human should step in. This guide explains approval UX in practical terms.
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🤖 AI / LLMOps
Designing a Memory Window Budget for Agents
Agents do not get better just because they remember more. In production, memory budgets and summarization rules drive quality.
📚 IT Stories
How LLMs Moved from Autocomplete to the Starting Point of Agents
Large language models once looked like impressive text completion systems. Why do they now feel like the beginning of a new software interface layer?
🤖 AI / LLMOps
OpenAI Responses API Agent Architecture Playbook
A practical guide to designing agent systems around the OpenAI Responses API, built-in tools, conversation state, and operational guardrails.
📈 Trends
2026 Agent Platform Trends: What Changes After MCP
The key 2026 shift in agent platforms is no longer model quality alone. It is how teams standardize tool access, approval boundaries, and observability around MCP.