Excited to share my latest project: A Hybrid Book Recommendation System! Traditional search often misses the mark, so I built a system that combines Collaborative Filtering with the power of LLMs to provide highly relevant, personalised suggestions. Key Features: Query
AGENTS
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LLM Agents Should Handle Apps for Non-Technical Users
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Grandma certainly shouldn’t have to know apps or that there is an app. Her LLM agent should.
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Enterprise Navigation of Agentic AI Age Insights
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Great insights about “How to navigate the age of agentic AI”, particularly for the enterprise.
Thanks for sharing, @domingonarvaez1 . #AI #MWC26 -
Prediction Markets for Curating Agent Outputs
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@abraham_ai_ talk about prediction markets and how they could apply to curating agent outputs
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Reward Hacking: Esoteric Examples in AI Systems
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continue the story. a tangible and believable example of reward hacking but kind of esoteric
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Google launches CI Fixer for Jules SWE Agent
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Google released CI Fixer for Jules SWE Agent, which automatically fixes CI issues to make it green. https://t.co/zHhlGaPSoI pic.twitter.com/bn0w2ZKnwy
— 🚨 AI News | TestingCatalog (@testingcatalog) 19 février 2026Google released CI Fixer for Jules SWE Agent, which automatically fixes CI issues to make it green.
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Three Ways to Optimize LangSmith Agent Memory and Performance
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LangSmith Agent Builder uses memory to improve with feedback. Three practical ways to get the most out of memory: → Tell your agent to remember what works
→ Use skills to give it specialized context when needed
→ Edit its instructions directly when that's faster Full -
DeepAgent: Your Personal AI Assistant on Telegram
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Your personal AI agent is here! Vibe code your own agent with DeepAgent, message it on Telegram, and watch it handle your tasks. From responding to emails to complex workflows – your AI assistant is just a message away. #AI #DeepAgent #AbacusAI
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LangSmith for Startups: Free Tools for Early-Stage Teams
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🚀 Introducing: LangSmith for Startups
— LangChain (@LangChain) 19 février 2026
We are launching LangSmith for Startups to give early-stage teams the tooling and community they need to iterate faster and win bigger.
Observe, evaluate, and deploy your agents — now with free credits to help you get started. 💸
Our… pic.twitter.com/WizxZ2iBa9Introducing: LangSmith for Startups We are launching LangSmith for Startups to give early-stage teams the tooling and community they need to iterate faster and win bigger. Observe, evaluate, and deploy your agents — now with free credits to help you get started. Our
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AI Agents Collaborating to Commit Social Media Fraud
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What happens when AI agents start working together to scam people on social media? Researchers from Shanghai Jiao Tong University, Shanghai AI Lab, and Beihang University have introduced MultiAgentFraudBench to investigate this emerging threat. They simulated how groups of LLM