READ THE SIGNAL.
MAP THE STACK.
ClawList is building an editorial home for AI tools, models, agents, workflows, and industry shifts. The homepage starts with coverage and judgment, then opens into the broader directory when you want the map behind the headlines.
Editor's snapshot
159
Resources tracked
12
Sectors covered
Publishing rule
Lead with original reporting and analysis, keep directory coverage as reviewed briefs, and push outbound links behind ClawList context instead of using the homepage as a link wall.
Top story
OpenClaw 9-Layer Prompt Architecture
Why your AI agent needs layered prompts. Deep dive into OpenClaw's 9-layer architecture with design rationale and implementation code.
Editor's picks
Start with the strongest reads.
AI • Feb 23, 2026
Using Linear as AI Task Management Hub
Experience report on using Linear as a central hub for AI-managed task workflows with PR submission and status tracking.
AI • Feb 23, 2026
Continuous Planning and Knowledge Consolidation with Markdown
Explores iterative planning technique using live Markdown for AI task execution, balancing continuous updates with token efficiency.
AI • Feb 23, 2026
Engineering Better AI Agent Prompts with Software Design Principles
Author shares approach to writing clean, modular AI agent code by incorporating software engineering principles from classic literature into prompt engineering.
Most read
What readers are spending time on.
AI-Powered Product Video Marketing Strategy
Guide on using AI to create product ads, testimonial videos, and images for social media marketing campaigns.
324 reads • Feb 23, 2026
AI-Powered Todo List Automation
Discusses using AI to automate task management, addressing the problem of postponed tasks never getting done.
245 reads • Feb 23, 2026
SEO/GEO Optimization Tips Using Skills in 2026
Best practices for styling AI-generated content and leveraging skills for SEO/GEO optimization in international markets.
234 reads • Feb 23, 2026
OpenClaw 9-Layer System Prompt Pattern
The complete 9-layer system prompt pattern used by OpenClaw. Includes bootstrap protocol, memory management, and skill loading architecture.
224 reads • Mar 5, 2026
Analysis
Original judgment, not just launch summaries.
AI Industry
The Real Threat Behind Anthropic's 21 Plugins: Why SaaS Companies Lost $285 Billion
In 25 days, Anthropic launched 21 plugins and triggered a $285B SaaS market wipeout. A former Google PM spent 4 weeks testing them all. His verdict: this isn't a product launch—it's an extinction event.
AI
Seedance 2.0: AI-Powered Short Drama Generation
AI agent that generates complete short dramas from text prompts, transforming content creation workflow with consistent characters and unified style.
AI
Isometric 3D Technical Infographic Prompt for Gemini
Effective prompt engineering technique for generating isometric 3D technical infographics using Google Gemini AI.
Topic hubs
Follow the clusters shaping coverage.
Topic Hub
System Prompt Architecture
One place for the pages shaping how ClawList covers prompt architecture, layered agent instructions, and context design.
Topic Hub
OpenClaw Nodes & Automation
The main cluster for OpenClaw Nodes, browser/device automation, and practical control-layer tutorials.
Topic Hub
Claude Code Workflows
The cluster page for autonomous Claude Code usage, memory, long-running execution, and practical task management.
Topic Hub
AI Agent Workflows
The cluster page for orchestration demos, multi-model workflows, and high-intent agent build tutorials.
Featured skills
Install-ready picks.
Fresh guides
Turn signal into execution.
Mar 17, 2026
xAI Voice API Text-to-Speech: What It Unlocks for Voice Agents
A practical look at why xAI's text-to-speech docs matter for phone agents, voice assistants, and narrated AI workflows.
Mar 7, 2026
OpenClaw Node.js Tutorial: First Agent
Step-by-step guide to building an AI agent with OpenClaw and Node.js. From installation to your first working skill.
Directory briefs
Start with ClawList context, then open the source.
36 resources
OpenClaw Landscape
Hosted products, launchers, and community entry points built around OpenClaw.
22 resources
AI Models
Foundation model families relevant to agent workflows, coding, and multimodal use cases.
21 resources
Agent Ecosystem
Agent-native products, social networks, and infrastructure services.
12 resources
Tutorial Collections
Guides, handbooks, and walkthrough libraries for learning the ecosystem.
OpenClaw Landscape
OpenClaw
OpenClaw sits inside ClawList's openclaw landscape watchlist because it shows where readers can actually encounter the OpenClaw experience in the wild on openclaw.ai.
Why it matters
OpenClaw matters here because it gives readers a concrete reference point inside openclaw landscape research. Rather than treating openclaw.ai as just another link on a board, ClawList uses it as a signal for how this part of the AI stack is currently being packaged, distributed, or documented.
Best for
Teams comparing hosted OpenClaw surfaces, launchers, and community entry points before they pick a default interface.
Cloud Deployment
Alibaba Cloud
Alibaba Cloud sits inside ClawList's cloud deployment watchlist because it helps operators compare where AI agents, browsers, and remote sessions can run on aliyun.com.
Why it matters
Alibaba Cloud matters here because it gives readers a concrete reference point inside cloud deployment research. Rather than treating aliyun.com as just another link on a board, ClawList uses it as a signal for how this part of the AI stack is currently being packaged, distributed, or documented.
Best for
Operators deciding where to deploy agents, browser automation, or remote workspaces without locking into a single runtime too early.
Tutorial Collections
Official Docs
Official Docs sits inside ClawList's tutorial collections watchlist because it acts as a starting point when readers need implementation guidance rather than another product page on docs.openclaw.ai.
Why it matters
Official Docs matters here because it gives readers a concrete reference point inside tutorial collections research. Rather than treating docs.openclaw.ai as just another link on a board, ClawList uses it as a signal for how this part of the AI stack is currently being packaged, distributed, or documented.
Best for
Readers who want tutorials, setup walkthroughs, and examples before they install tools or rewrite their workflow stack.
Popular AI Tools
Qianwen
Qianwen sits inside ClawList's popular ai tools watchlist because it keeps ClawList readers aware of adjacent products shaping day-to-day AI usage on qianwen.com.
Why it matters
Qianwen matters here because it gives readers a concrete reference point inside popular ai tools research. Rather than treating qianwen.com as just another link on a board, ClawList uses it as a signal for how this part of the AI stack is currently being packaged, distributed, or documented.
Best for
Teams scanning adjacent AI tools and interfaces to understand where product expectations are moving outside their current stack.
Coding Plans
Kimi
Kimi sits inside ClawList's coding plans watchlist because it captures the planning and execution layers engineers keep comparing around coding agents on kimi.com.
Why it matters
Kimi matters here because it gives readers a concrete reference point inside coding plans research. Rather than treating kimi.com as just another link on a board, ClawList uses it as a signal for how this part of the AI stack is currently being packaged, distributed, or documented.
Best for
Engineering teams evaluating how coding agents handle planning, repo work, task decomposition, and autonomous execution.
MaaS Platforms
Alibaba Cloud
Alibaba Cloud sits inside ClawList's maas platforms watchlist because it maps the model access layer behind many AI products and custom stacks on bailian.console.aliyun.com.
Why it matters
Alibaba Cloud matters here because it gives readers a concrete reference point inside maas platforms research. Rather than treating bailian.console.aliyun.com as just another link on a board, ClawList uses it as a signal for how this part of the AI stack is currently being packaged, distributed, or documented.
Best for
Teams choosing vendor routing, model access, and API aggregation layers before they standardize procurement or build internal tooling.
Source and editorial policy
ClawList uses public product and community pages as reporting inputs, then adds its own editorial framing, internal linking, and workflow judgment before sending readers off-site.