Finding AI tools that actually help:

https://project-ai.org/articles/finding-ai-tools-that-actually-help/

#ai

Security basics for vibe-coders:

https://project-ai.org/articles/security-basics-for-vibe-coders/

#ai

Our predictions for Web3 in 2026: The year the agents take over:

https://project-ai.org/articles/our-predictions-for-web3-in-2026/

#ai

The “two-brain” advantage: Why you should never trust just one AI:

https://project-ai.org/articles/the-two-brain-advantage/

#ai

What makes Mistral so interesting in the AI landscape?:

https://project-ai.org/articles/what-makes-mistral-so-interesting-in-the-ai-landscape/

#ai

The dawn of AI browsers: Rethinking how we navigate the Web:

https://project-ai.org/articles/the-dawn-of-ai-browsers-rethinking-how-we-navigate-the-web/

#ai

How to make the most economic use of LLM tokens:

https://project-ai.org/articles/how-to-make-the-most-economic-use-of-llm-tokens/

#ai

3 Most Impactful Ways to Save Energy When Using AI, by @owends (@projectai):

https://project-ai.org/articles/3-most-impactful-ways-to-save-energy-when-using-ai/

#ai #prompting #sustainability

The 2025 DORA report says what everyone has been thinking:

https://project-ai.org/articles/the-2025-dora-report-says-what-everyone-has-been-thinking/

#ai

3 most impactful ways to save energy when using AI:

https://project-ai.org/articles/3-most-impactful-ways-to-save-energy-when-using-ai/

#ai

The relationship between AI, large language models, and Web3:

https://project-ai.org/articles/the-relationship-between-ai-llms-and-web3/

#ai

Is Web3 dead?:

https://project-ai.org/articles/is-web3-dead/

#ai

Three reasons to try JetBrains Junie:

https://project-ai.org/articles/three-reasons-to-try-jetbrains-junie/

#ai

Three reasons to try Proton Lumo?:

https://project-ai.org/articles/three-reasons-to-try-proton-lumo/

#ai

The horizon of innovation: 5 probable features of next-generation AI models:

https://project-ai.org/articles/5-probable-features-of-next-generation-ai-models/

#ai

5 essential tips to verify AI and LLM output:

https://project-ai.org/articles/5-essential-tips-to-verify-ai-and-llm-output/

#ai

Keeping AI’s carbon footprint in check: A guide to energy-conscious computing:

https://project-ai.org/articles/keeping-ais-carbon-footprint-in-check/

#ai

The power of AI-led inquiry: Why AI should ask the questions:

https://project-ai.org/articles/the-power-of-ai-led-inquiry/

#ai

5 practical tips to improve your prompt engineering:

https://project-ai.org/articles/5-practical-tips-to-improve-your-prompt-engineering/

#ai

Why switch to Claude: 3 compelling reasons:

https://project-ai.org/articles/why-switch-to-claude-3-compelling-reasons/

#ai