Most AI agent configs have security holes you can find without running a single inference call.
lintlang scans your system prompts, tool descriptions, and configs for 7 categories of issues. Static analysis. Zero LLM calls.
https://t.co/z9uYkruOUH
LLM agent is comprised of a backbone LLM and its equipped tools.
An LLM agent that utilizes the Qwen3-7b model as its backbone LLM and is equipped with five tools. Three of these tools are accessed through Anthopic’s MCP
https://t.co/sPWVFhKBbA
@GabbbarSingh Better to have DeepSeek with Anything LLM and OpenClaw as Agent installed than paying monthly Subscription which will run out in 3 days !
Literally every time I see someone fail to get a result with ai I think “skill issue.”
I have an agent with a RAG db of over 1000 books spread out across business, marketing, and coding that allows me to consult every expert in the world.
You don’t like your LLM result? Build an agent and give it tools.
❓ Calling all Agentic Commerce builders:
What's the FIRST autonomous agent you would build with unlimited API access?
A) Customer service automation
B) Sales prospecting and outreach
C) Inventory and supply chain management
D) Marketing and content generation
🔮 Predicting 2027: How @AgentCash will transform Agentic Commerce
2024 (Now): Early adopters building simple automation agents
2025: Multi-agent systems coordinating complex business workflows
2026: Industry-specific agent marketplaces emerging