What are some good ways to test the waters with AI with low barriers to entry?

Entering the AI space with low barriers involves starting with accessible, cost-effective methods like free trials, pre-built tools, and basic automation features. These require minimal technical skills or upfront investment.

Focus on low-cost experimentation using readily available infrastructure. Key approaches include leveraging no-code/low-code platforms, utilizing freemium vendor tools, exploring existing software's built-in AI features, and implementing simple task automations. Start with well-defined, small-scale use cases rather than complex transformations, and maintain realistic expectations regarding initial results for manageable risk.

Begin by identifying repetitive manual tasks within workflows that could benefit from automation or augmentation. Explore free tiers of established AI platforms (e.g., OpenAI, Anthropic) for experimenting with language models, or test document parsing/chatbots offered within common business software. Start prototyping a focused application, measure its impact, and use these insights to validate feasibility before scaling or further investment. Typical low-effort tests include automating document summaries or creating simple chatbots.