What Is Gemini Agent? Google's Universal Work Agent Explained
Gemini Agent is Google's universal work agent for persistent tasks, multi-agent coordination, model routing, and work across business…
46 articles in this category.
Gemini Agent is Google's universal work agent for persistent tasks, multi-agent coordination, model routing, and work across business…
Learn how AI agent connectors use MCP, OAuth, scopes, resource permissions, and approval gates—and how to evaluate a connector before it…
Learn what an AI agent harness does, how its execution loop, context, tools, sandbox, approvals, tracing, and recovery fit together, and…
What OpenAI Plugins are in 2026, how skills, MCP servers, UI extensions, events, and hooks fit together, and when a smaller integration is…
How to batch convert a folder of markdown files to PDF, Word or HTML: pandoc scripts, GUI tools, failure modes, and when folder-scale work…
Markdown has become the working format of AI pipelines: the context LLMs read best, the contract agents exchange, and the structure RAG…
Convert HTML to Markdown to turn AI chat replies and web clippings into clean, portable .md files — what survives, what breaks, and the…
Markdown is the 2004 plain-text syntax that became the default for docs, git repos, note apps and AI output — how it works, its dialects,…
OpenAI's Codex harness is open on GitHub: exec, SDK, and app-server. What's in the agent loop, what's not open, and how it compares to…
Doubao Work explained as an AI office agent: verify its desktop, cloud, Feishu, artifact, permission, pricing, and regional boundaries…
A practical explanation of Cordis beneath DeepSeek Harness: contexts, services, dependency injection, effects, events, isolation, hot…
Learn DeepSeek function calling for agents: tool schemas, strict mode, parallel tool calls, thinking mode, MCP, and production repair…
Grok Bot explained: how its always-on cloud computer, routines, multi-bot coordination, X integration, access model, and approval…
Step-by-step guide to building a DeepSeek Agent with V4 Pro and V4 Flash. Covers API setup, model selection, tool calling, the agent loop,…
Claude Code explained: Anthropic's terminal coding agent, its plan mode, sub-agents, and MCP — and how it differs from Cowork, Tag, and…
Claude Cowork explained: how it completes knowledge-work tasks across files and tools, how it differs from Chat and Claude Code, where it…
Claude Tag lets teams delegate work to @Claude from selected Slack channels. Learn how channel memory, connected tools, permissions, and…
A DeepSeek Agent is an agent harness using a DeepSeek model. Learn the difference between models and agents, current integrations, tool…
Voice agents execute work from speech; voice dictation turns speech into text. A solopreneur guide for exploration, prompts, co-authoring,…
A voice agent is speech-in, speech-out AI for real-time conversation. Learn the definition, architecture, and how it differs from dictation…
Voice mode vs dictation for AI agents: two-way speech or speech-to-text? Compare ChatGPT, Claude, coding tools, and solo founder workflows.
Voice dictation for AI agents turns speech into agent prompts—not chat replies. Learn the definition, five job shapes, and how it differs…
Use an AI agent with Obsidian without handing over your whole knowledge base. This practical workflow covers access scope, read-only…
A practical guide to context engineering for AI agents: instructions, tools, retrieval, memory, compaction, security boundaries, and…
Dynamic Workflows raises a practical question: should solo operators build agent orchestration or use a workspace built for execution?
Genspark Super Agent explained through official capabilities and a reproducible research-to-artifact test: sources, permissions, retries,…
A practical build-versus-buy framework for agentic AI systems, covering task fit, governance, integration, evaluation, total cost, lock-in,…
Trace the documented HTML-is-the-new-Markdown argument, inspect its examples, and separate human-facing artifact design from Markdown…
Build a reusable agent workflow in ChatGPT without an API: choose the right ChatGPT surface, define instructions, knowledge, apps,…
Build an AI agent for repeated work with a task contract, bounded tools, state, approvals, evaluations, observability, and safe…
Before you let a browser AI agent touch your Gmail or CRM, walk through these 5 questions on permissions, memory, and prompt injection.
A task-by-task guide to browser AI agent capabilities, limits, permissions, failure modes, and reproducible tests for research, forms,…
Use a task recovery packet to reduce context rebuilding, then compare a workspace agent with a maintained project note in a one-week test.
Learn when a workspace agent fits solo work, which permissions and failure modes to inspect, and how to run a controlled 14-day buying…
AI workspace agents are a new category of AI that works inside your real workspace — files, browser, tools. Here's what they are and who…
Claude Managed Agents gives builders a hosted agent runtime. Learn when that infrastructure helps a solo company, what it does not replace,…
Turn vibe-coded prototypes into reviewable software with a bounded AI agent workflow: acceptance criteria, repository rules, tests, diff…
Vibe coding lets anyone build with AI and plain language. Here's what it can do for a one-person company — and where it breaks.131 chars
Claude Managed Agents is Anthropic's hosted runtime for long-running agents. Learn what it manages, where it fits, its limits, and how…
Diagnose why an AI loses context between chats by separating context windows, session history, long-term memory, retrieval, and privacy…
A persistent AI agent doesn't forget you when the session ends. Here's what that actually means for how you work — and why it's becoming…
Every time you close a chat tab, your AI forgets everything. Here's what solo operators actually lose — and why it matters more than most…
A practical guide to custom AI agent development: decide whether you need an agent, define requirements, design tools and state, control…
A practical guide to building an AI agent from task definition and tool design through permissions, state, evals, observability,…
Evaluate AI agent development services by scope, architecture, security, evidence, pricing structure, contracts, and a practical paid-pilot…
Choose an AI agent use case by inputs, tools, outputs, approval gates, and failure modes. Includes documented examples and a practical…
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