Blog
What is new in AI research, from world models to bacteria, and what it changes on production lines, in online shops and in search. Written by the team that builds Firecrux.
Industry and automationSynthetic data generation when defects are rare: what it really does for quality control
Industry and automationSmall language models next to the production line: what fits on the edge in 2026
More stories
- SEO, GEO and LLMsGenerative engine optimization: how AI answers pick their sources
- Industry and automationEU AI Act Article 50: what started applying in August 2026, after the Digital Omnibus
- Industry and automationAgents in the back office: agentic AI use cases that actually run in 2026
- AI researchRobots that learn by being shown: vision-language-action models in 2026
- AI researchEvo 2 and bacteria: the phage result, the guardrails and the factory floor
AI research
Industry and automation
SEO, GEO and LLMs
Marketing
From the archive
2019
- How does personalization change the face of marketing?
- The role of AI in modern marketing
- Multivariate testing vs A/B testing: which testing is better?
- How to find your target audience: 3 tips for ads that sell
- User scenarios: what they are and how to write them, with examples
- Chatbot vs conversational AI: the difference, and how companies win with both
- Benefits of AI in Customer Service
- Gated content: when and how to use it for marketing
- 7 reasons your email marketing campaign doesn’t work, and how to fix them
- What are push notifications and how do you use them?
- Triggered emails: what they are, types and examples
- User personas in UX: what are personas most useful for?
- Sales prospecting: 5 ways to prospect successfully
- How to create website pop-ups that sell
- AI-generated faces: how AI creates people who do not exist