Experiment with Deep Agents paired with Deep UI interfaces to create more natural, AI-driven user interactions in applications.

Use product management tools to outline a detailed three-month build roadmap that aligns team milestones with AI project deliverables.

Implement critique and citation features with hyperlink support to structure review processes and reference external sources within AI-generated conte...Show more

Code Mode for MCP integrates AI capabilities directly into the development environment to boost developer productivity and streamline coding tasks.

Langchain provides tools and abstractions to build, chain, and manage AI agents, supporting custom components and integrations for complex workflows.

Kimi K2 is highlighted as a dependable, high-throughput compute platform optimized for continuous AI development workloads.

The latest NVIDIA DGX systems feature enhanced GPUs and optimized interconnects to dramatically speed up large-scale AI model training and inference.

Clerk offers user authentication, session management, and access control tailored for AI applications, streamlining secure sign-in flows for multi-age...Show more

Deep Agent CLI provides a command-line interface for creating, deploying, and managing modular AI agents, with recent blog posts highlighting plugin s...Show more

Position the Kimi K2 as a reliable, cost-effective workhorse for AI workloads by offering dedicated Kimi K2 compute instances to developers and small ...Show more

Leverage the latest NVIDIA DGX hardware advancements to accelerate model training and inference, offering managed DGX-as-a-service for AI startups.

Beware of creating too many AI agents without governance, as an unbounded agent-sprawl leads to unmanageability and operational overhead.

Implement Clerk-based user authentication to manage sessions and permissions for AI agents, ensuring secure multi-user access in your agent platform.

Use Langchain to orchestrate and integrate deep agents into advanced AI workflows, enabling modular, maintainable pipelines for complex tasks.

Offer a managed service that embeds long-term memory into custom AI agents for use cases like personalized support and tutoring, leveraging frameworks...Show more

Langgraph’s core feature is built-in long-term memory with recent updates adding persistent storage to retain agent context between sessions.

Integrate a long-term memory layer into deep agents to maintain context across interactions and improve decision-making over extended sessions.

Use Agent Builder to auto-generate AI agents from plain-language descriptions, streamlining the creation and deployment of specialized agents.

Treat domain experts as essential advisors throughout AI and product development processes to guide design and validate assumptions.

Implement a structured process for consulting domain experts during AI tool development to ensure relevance and accuracy.