Emphasize building AI tools around a user-driven iterative cycle to drive practical adoption and refinement of capabilities.

Shared a real-world case of setting up a new AI agent that failed to align with expectations, highlighting the challenges in deployment.

Plan a live podcast recording at SXSW to engage with the startup community and leverage mentoring opportunities.

Integrate scheduling capabilities into AI agents to ensure timely execution of tasks and improve workflow management.

Reflect on the evolving need for transparency in AI startup journeys to build trust and credibility in the community.

Warn against chasing shiny objects in AI development, using a glittery paperweight metaphor to emphasize focus on core principles.

Critique the current AI business model for harming the Internet’s ecosystem and highlight the need for sustainable monetization strategies.

Utilize Code Mode features in MCP to enhance developer productivity and integrate AI capabilities directly in the IDE.

Explore Kimi K2’s scalable and reliable performance as a workhorse for intensive AI tasks.

Leverage the latest NVIDIA DGX hardware updates to boost AI development workflows and performance.

Use the XJS starter template to streamline app development and accelerate approval processes.

Implement deep agents using Langchain to automate complex AI workflows and enhance automation capabilities.

Code Mode for the Model Control Plane enables AI-driven code execution and integration with tools, forming the backbone for building deep agent applic...Show more

Launch a marketplace of prebuilt connectors so AI app builders can rapidly compose and integrate external services from a tool catalog.

AI tool adoption, especially for personal use, is best driven by tight user-feedback cycles rather than large monolithic feature releases.

Implement a dedicated code execution layer within your Model Control Plane (MCP) to orchestrate tool connectors and manage runtime workflows for AI ap...Show more

MCP defines a protocol for consistent control and integration of various AI models, facilitating interoperability across services.

Apple Vision Pro demands careful timing of user interactions and UI feedback to match its spatial computing input model.

Playwright provides APIs for automating browser testing workflows, with support for custom cancellation of running tests to optimize CI pipelines.

Ongoing product changes make demo vaults hard to maintain current, requiring dedicated processes to sync demos with the latest builds.