AI tools are shifting from “chatbots” to work assistants that can research, write, design, code, summarize meetings, and even automate multi-step tasks across your apps (the “ agentic” trend ). 1) How to choose the “best” AI tool (without wasting money) Before picking tools, decide your main use case: Writing & content (blogs, captions, emails, SEO briefs) Research (summaries, citations, fact-checking) Design (social posts, thumbnails, brand kits) Video & audio (shorts, voiceovers, podcasts) Coding (debugging, refactors, documentation) Meetings (notes, summaries, action items) Automation (connect apps + run workflows) Then check these 4 filters: Output quality (is it consistently good for your tasks?) Workflow fit (does it live where you already work—Docs, Notion, IDE, Zoom, etc.?) Privacy & data (can you avoid uploading sensitive info?) Total cost (subscription + add-ons + time saved) 2) The best AI tools by category (2...
Explore how memory empowers agentic AI systems—why memory matters, how it’s built, what types exist, what challenges and design-patterns to use, and how memory transforms reactive tools into truly autonomous agents. Introduction In the era of large language models and generative AI, we’re increasingly talking not just about “tools” but about “agents” — systems that act autonomously, set and pursue goals, adapt to their environment, and engage over time. This paradigm of agentic AI is rapidly gaining traction across enterprise and consumer domains. Aisera: Best Agentic AI For Enterprise +1 But what elevates an AI “agent” above a one-off prompt/response model? At the heart is memory — the ability to remember, recall, learn, adapt, and thereby behave more like a persistent collaborator than a stateless tool. In this article we’ll explore: what memory means in agentic AI, why it matters, what types exist, how it’s engineered, best practices and challenges, real world use cases and...