aiqbench analysis
TechPulse take: This article emphasizes practical AI automation for repetitive workflows like job searching and research, offering concrete guides and code using tools such as the OpenAI Agents SDK and Kimi K2.6. The focus remains on building functional agents that handle data extraction and synthesis rather than merely demonstrating new models.
7 Real World AI Projects to Build in 2026 (with Guides)
Explore seven practical AI projects that automate real workflows, including job search, web research, investment research, market trend analysis, invoice processing, chart digitization, and personalized exercise training.
AI projects are most useful when they solve real workflow problems, not just when they demonstrate a new model or tool. The projects in this article focus on practical automation, including job searching, research, invoice processing, market analysis, chart digitization, and personalized assistants. Instead of manually searching, reading, comparing, copying, and summarizing information, these projects show how AI can handle much of the repetitive work for you. Each project comes with a complete guide, code, and step-by-step explanation, so you can learn how to build it from scratch and…
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