To build this, I used Sim. Get started here: http://
sim.ai Tech Stack: – @simdotai to build and deploy the workflow
– @firecrawl for web search
– Claude Desktop as the agent (though any agent that supports MCP works here) And if you prefer full control, Sim has a
@akshay_pachaar
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Building AI Workflows with Sim.ai and Claude Desktop
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Automating Workflows with AI Agents: YC Job Finder Example
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Turn any workflow into an agent skill.
— Akshay 🚀 (@akshay_pachaar) 6 mars 2026
I built a YC job finder, deployed it as MCP server & connected it to Claude Desktop. It finds matching roles & sends personalized application emails to the recruiter.
If you can break a process into steps, this guide will help you automate… pic.twitter.com/5pYLDkb2x3Turn any workflow into an agent skill. I built a YC job finder, deployed it as MCP server & connected it to Claude Desktop. It finds matching roles & sends personalized application emails to the recruiter. If you can break a process into steps, this guide will help you automate
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Recursive Behaviors Emerge in Frontier AI Models Without RLM Training
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What I liked about thsi paper was that these recursive behaviors emerge without explicit RLM training. This is because frontier models like GPT-5, Qwen3-Coder, etc., already have enough computational intuition to grep, partition, and spawn sub-calls effectively. So they just
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Open Agent Skills Ecosystem Boasts 85,000+ AI Skills
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An open agent skills ecosystem: (85,000+ skills and growing)
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MCP vs. Skills for AI Agents: A Technical Breakdown
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MCP vs. Skills for AI agents, clearly explained!
— Akshay 🚀 (@akshay_pachaar) 5 mars 2026
People treat MCP and Skills like they're the same thing.
They're not.
Conflating them is one of the most common mistakes I see when people start building AI agents seriously.
So let's break both down from scratch.
Before MCP… pic.twitter.com/QVJm6RHM0bMCP vs. Skills for AI agents, clearly explained! People treat MCP and Skills like they're the same thing. They're not. Conflating them is one of the most common mistakes I see when people start building AI agents seriously. So let's break both down from scratch. Before MCP
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ART: Open-Source Framework for Training AI Agents with Automatic Rewards
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AI Engineering are going to love this!
— Akshay 🚀 (@akshay_pachaar) 5 mars 2026
ART (Agent Reinforcement Trainer) is an open-source framework for training agents with GRPO + RULER (an automatic reward system).
No need to hand-craft reward functions.
GitHub: https://t.co/O4dIDm6cqv https://t.co/OHeohQTOd4 pic.twitter.com/LLhoe6nUq7AI Engineering are going to love this! ART (Agent Reinforcement Trainer) is an open-source framework for training agents with GRPO + RULER (an automatic reward system). No need to hand-craft reward functions. GitHub: http://
github.com/OpenPipe/ART -
Intermediate Layer Distillation: Aligning AI Models with Hidden States
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Good one! Intermediate Layer Distillation is another technique that I’ve read about. Instead of only matching the teacher’s final output distribution, you also align intermediate hidden states, attention patterns, or feature maps across corresponding layers. The intuition
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AI System Indexes Code and Analyzes Log Severity
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It has your entire code base indexed, there's a step that does an assessment on the severity of the logs, and before that, clusters similar logs/alerts into unique ones.
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AI Error Monitoring Agent: Code and Functionality Detailed
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You can find the code for the error monitoring Agent here: https://
github.com/airweave-ai/er
ror-monitoring-agent
… Here's how it works: – Pulls raw errors from Sentry or Azure Log Analytics
– Clusters them semantically by root cause (20 errors become ~4 actual issues)
– Searches GitHub for the exact code -
Open-Source AI Error Monitoring Agent Reduces Downtime by 95%
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Software engineers are going to love this!
— Akshay 🚀 (@akshay_pachaar) 3 mars 2026
I found an open-source error monitoring agent that scans production logs, finds the root cause, and sends a Slack message with full context before you even notice something broke.
Cuts down production downtime by 95%!
Check this: pic.twitter.com/XjWByJVzGFSoftware engineers are going to love this! I found an open-source error monitoring agent that scans production logs, finds the root cause, and sends a Slack message with full context before you even notice something broke. Cuts down production downtime by 95%! Check this: