AI platforms should adopt usage-based pricing tied to compute and outcomes while retaining subscription tiers for budgeting, transitioning cost models...Show more

As AI reduces headcount in workflows, moving from per-seat to outcome- or consumption-based pricing is essential for sustainable monetization of enter...Show more

Embedding AI agents into everyday applications like Excel suggests a path for startups to create specialized assistants that automate tasks and can be...Show more

Build a service that analyzes and interprets model soda benchmarks (e.g., Gemini on TPU) to help developers optimize AI workloads and choose the right...Show more

The Microsoft–Nvidia–Anthropic announcement underscores accelerating demand for GPU-powered AI services, presenting opportunities to build specialized...Show more

Startups’ reliance on open source models suggests a market opportunity for specialized fine-tuning services that enhance performance and customization...Show more

Given that most agents in the survey rely on database access over web search, entrepreneurs can differentiate by building AI agents optimized for inte...Show more

There is strong demand for a Gemini diffusion model release, suggesting an opportunity to prioritize and monetize advanced image diffusion capabilitie...Show more

Build a single marketplace for developer extensions and AI skills—mirroring Anti Gravity’s vision—to simplify discovery and integration of cloud code ...Show more

The failure of uncoordinated agents and Cameron’s supervisor-agent experiment highlights a market opportunity for an AI orchestration platform that mo...Show more

Develop a VSCode plugin that integrates an “agent manager” interface for launching and monitoring AI agents directly within the IDE.

Launch a cloud-based multi-agent orchestration platform to allow developers to spin up and manage AI agents remotely, similar to Cursor’s cloud offeri...Show more

Leverage Theory Ventures’ survey on open versus closed-source AI models to inform product strategy and community sentiment analysis.

Use Robo Flow's block-based interface with Meta's SAM model to rapidly prototype and deploy computer vision applications with minimal code.

Running capable models like Llama 3.2 or Kimi 2 locally can eliminate inference cloud costs, unlocking more affordable AI-driven research tools.

Position the agent builder as a starter app within Langsmith that users can iterate on, then export or convert into deployed agents with generated cod...Show more

Develop and market a packaged LangChain deep agents solution, leveraging past podcast discussions and feature highlights to attract developers.

There’s a market opportunity to build customizable AI workflow platforms that integrate seamlessly into individual users’ iterative cycles.

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.