bizideas Business ideas, extracted and explained.

← all ideas

Top AI Tools of the Year

2025-12-24video 1:26 616 wordsaitoolsreview
▶ Watch the original

The idea

This year, the AI landscape has seen a significant shakeout. Out of over 100 tools tested, only 10 have stood the test of time. The argument is that these tools offer real value, with some, like Whisper Flow and ChatGPT, performing exceptionally well. Whether it’s natural language processing or coding assistance, there are clear winners. For instance, Claude is noted for its human-like interaction, making it a standout coding provider. Perplexity excels in one-off research tasks, while Gemini Deep Research is the go-to for comprehensive internet searches. These tools not only deliver on their promises but also provide a return on investment, making them essential additions to any tech stack.

Why it works

The playbook

  1. Test multiple AI tools. Start by experimenting with several tools, just like the founder did. This will help you find the ones that best fit your needs. The argument is that only a few out of many tested tools survive the hype cycle, so it’s crucial to test thoroughly.
  1. Identify the winners. Based on the founder’s insights, tools like Whisper Flow and ChatGPT stand out. These are highly recommended for their efficiency and ROI. Keep an eye on the ones that are tied or win some in the comparison.
  1. Evaluate coding providers. The founder strongly recommends Claude as the best coding provider. Look for tools that feel human and provide reliable performance, as Claude does according to the founder.
  1. Choose research tools wisely. For one-off research tasks, Perplexity is the best option. It excels in providing the necessary information efficiently. Similarly, for absorbing vast amounts of information, Gemini Deep Research is the way to go.
  1. Consider the risks. Be cautious about tools that put your data at risk. The founder warns that some tools might not be as secure as they seem. Always prioritize tools that protect your data, as the founder suggests.

Where people get it wrong

Do this next