Insights, tutorials, and updates from the ZharfAI team
Master Google Antigravity CLI from installation and workspace trust to artifacts, subagents, models, permissions, sandboxing, skills, plugins, MCP, hooks, and headless automation.
Install and master Hermes Agent: providers, tools, skills, memory, self-improvement, web dashboard, messaging gateway, cron, MCP, sandbox backends, and security.
Master OpenCode from installation to providers, AGENTS.md, plan and build agents, permissions, skills, MCP, plugins, IDE, desktop, server, and GitHub workflows.
Install and secure OpenClaw, configure its Gateway, models, workspaces, channels, memory, skills, plugins, browser tools, subagents, tasks, and automations.
Install and master Prime Agent: persistent IPython, recursive subagents, continual harness refinement, background sessions, goals, schedules, skills, MCP, autonomous mode, and security.
Install and master Qwen Code: Qwen3.8, providers, QWEN.md, plan and auto modes, subagents, agent teams, worktrees, skills, memory, MCP, hooks, IDEs, daemon, channels, and CI.
A verified guide to Qwen3.8-Max Preview, GLM-5.2, and DeepSeek-V4-Flash: model IDs, compatible coding agents, setup paths, caveats, and fair repository evaluation.
A practical control architecture for separating independent evidence, AI-influenced decisions, synthetic content, and production feedback before the next model learns from them.
A practical method for tracing personal data through AI pipelines, choosing deletion, rebuild, retraining, or unlearning, and proving that derived artifacts stay clean.
A practical guide to inventorying models, data, prompts, tools, evidence, and provenance so an exact AI release can be assessed, promoted, and rolled back.
A practical architecture for evaluating cyber-capable AI agents without giving a benchmark sandbox a transitive path into production systems.
How sparse attention, persistent CUDA kernels, four-step distillation, and NVFP4 turn a 133-second pipeline into near-real-time video generation.