Integrate Playwright with an MCP server to automate end-to-end testing workflows as part of a developer’s standard toolset.

Use a Chrome DevTools MCP server paired with Claude to directly push debugging context from the browser to the model, eliminating manual context switc...Show more

Combine open source GPT OSS models with Qwen 2.5 VL via a local MCP server to add vision capabilities without sacrificing tooling features.

Chinese AI teams optimize their limited hardware by surgical compute tuning instead of brute-force scaling.

Cameron Rohn suggests that the Qwen-3 Omni likely employs a router pattern to delegate tasks to specialized sub-models under the hood for performance ...Show more

Propose a structured visa fee model starting at a high baseline (e.g., $100K) with fee reductions tied to objective performance benchmarks of applican...Show more

Adopt a template-driven approach in your AI coding environment by creating and uploading custom starter templates to ensure consistent scaffolding and...Show more

Use LangChain’s Deep Researcher UI to automate deep-dive research via an interactive interface, speeding up information gathering and hypothesis valid...Show more

Use Langgraph Cloud’s prompt customization feature to define assistant-type sub-agents and system variants within a single graph architecture.

Abstract the core description and system prompt from templated agents to create reusable sub-agents across frameworks and use cases.

Leverage LangChain’s out-of-the-box tools combined with a deep agent architectural pattern to cover 80% of typical AI agent use cases.

Build an end-to-end agentic system for a single industry as a proof-of-concept to ensure usability before scaling to other sectors.

Use an AI agent modeled after a systems analyst to gather detailed requirements from users, uncovering overlooked factors before solution generation.

Enable users to map their value proposition by selecting their industry sector, organizational strategy, and tool integrations to generate a custom AI...Show more

Choose between building a horizontal AI salesperson agent for all companies or vertical sector-specific agents for deep domain expertise.

Use an executive assistant component as a ticketing system to queue and manage incoming tasks for autonomous agents.

Define a multi-step agent creation pipeline starting with a generation prompt and industry value map, followed by an onboarding app, and culminating i...Show more

Tom used an incremental prompt sequence via ChatGPT API—feeding industry name and NAIC code into steps like ‘generate app’, ‘add AI agents’, and ‘eval...Show more

Use Vercel’s AI SDK–integrated UI components (built on Shad cn) to render chain-of-thought flows and thinking token states in chat interfaces for more...Show more

Consider A2A protocols and application architecture when designing multi-agent systems to ensure agents can communicate, coordinate via graphs, and ha...Show more