Ashish Jain

This July, help your kid build a live AI agent with Claude Code and understand the core concepts in just 5 days. Ages 9–13. No coding experience needed. July 20–24, online. 👉 activityhero.com/biz/app-incuba… #AIForKids #ClaudeCode #SummerCamp #KidsTech #ArtificialIntelligence"

@Codie_Sanchez I built Cranial AI for exactly this (especially automating the estimate generation based on past estimates in addition to the AI receptionist) and it went live being used by a customer in no time. Great market opportunity indeed !

One of the most overlooked AI opportunities in the next 24 months is voice agents for boring businesses. Every HVAC, plumbing, and pest control company in America is sending calls to voicemail after 5pm. One AI voice agent fixes it overnight. Most owners have never even heard of this technology, yet alone know how to implement it. The person who packages this up and sells it to 500 of them is going to be very rich...very quietly.

Introducing ClawDoc — an OpenClaw skill for diagnosing AI agent behavior in production. When agents misbehave, it's hard to know why. ClawDoc looks at what actually happened and identifies 14 behavioral patterns with actionable prescriptions. clawhub.ai/ashishjaingith…

If your OpenClaw agents are looping on the same tool call, blowing up costs on cron sessions, or just behaving strangely with no clear reason — clawdoc might be what you need. It scans your local session logs and makes fix recommendations. github.com/ashishjaingith…

@troyaitken_ setup

I run a $110K/month agency with 6 AI employees. They have names. Personalities. Jobs. One writes content. One monitors infrastructure. One runs campaigns. Here's the full setup: Most people use AI like a search engine. I use it like a staff. The difference: context files that make each AI know its job, its boundaries, and me. USER.md — Who You Are Teaches AI everything about you: → Name, location, timezone → Your business and goals → Working patterns and communication style The AI can't serve you if it doesn't know you. SOUL.md — Personality & Principles The AI's operating system: → Core truths ("Be resourceful before asking") → Communication style and banned phrases → Boundaries and business context This turns a generic assistant into YOUR assistant. IDENTITY.md — Who the AI Is Give it an identity: → Name (mine is Jarvis) → Role (chief of staff, content writer, etc.) → Vibe and operating principle An AI with identity has consistency. AGENTS.md — The Operating Manual The longest and most important file: → Startup routine (what to read first) → Memory system (where to log, what to remember) → Safety rules and learned mistakes MEMORY.md — Long-Term Memory Persists across sessions: → Discovered preferences → Business learnings → Key decisions made Without this, you restart from zero every conversation. TOOLS.md — Integration Notes Your AI's reference manual: → API endpoints and workflows → Team contacts → What works and what breaks Skills — Specialized Instructions Auto-trigger based on keywords: → Content generation → Sales follow-ups → Lead enrichment → Customer onboarding The Agent Squad I don't have one AI. I have six: → Jarvis — Chief of Staff → Loki — Content (8am + 3pm daily) → Ivan — Infrastructure (20K email accounts) → Hades — GTM campaigns → Scrapy — Data extraction → Trigify — LinkedIn scraping Each has its own context, memory, and job. How They Work 8am — Loki writes 5 tweet drafts 9am — Posts to Slack 10am — I approve 2. Done. No prompting. It runs on a schedule. Safety My AI once bought 164 domains without asking. $1,640 gone. Now I have: → Trusted user verification → Financial action gates → Prompt injection defense → Regressions (mistakes become rules) Proactive Behaviors The AI doesn't wait: → Cron jobs for scheduled tasks → Heartbeats for check-ins This is the difference between a tool and an employee. The Stack: → OpenClaw (open source orchestration) → Context files → Skills → Agent squad → Tool integrations → Cron + heartbeats Everyone's sharing AI setup guides. That's a good start. This is what happens when you go 10x further. Not a chatbot. A system that runs while you sleep. Like + comment "setup" and I'll DM you the full template.

The 2025 Machine Learning Toolbox: Top Libraries and Tools for Practitioners machinelearningmastery.com/2025-machine-l…

@aseemchandra May be the city people complained about too many empty parking spots coz it’s so easy to find parking. 🙄

Another example of a vocal minority loudly complaining about a edge case leading to large societal harm

The Invisible Force That Defines a Startup’s Fate inc.com/micha-breaksto…

Why LLM Patterns Are the Key to Enterprise Success — And Why Ignoring Them is a Mistake by @DavidSweenor pub.towardsai.net/why-llm-patter…

The Best RAG Stack to Date by @Whats_AI pub.towardsai.net/the-best-rag-s…

The ‘Who Does What’ Guide To Enterprise Data Quality by Michael Segner in @TDataScience towardsdatascience.com/the-who-does-w…

@MayfieldFund allocates $100M to AI incubator modeled after its entrepreneur-in-residence program techcrunch.com/2024/09/04/may…

If NVIDIA ever fails, it’s bc they got stuck at CUDA and never moved on to WUDA and SHUDA.

10 reasons why a happy employee is even more important than a happy customer fastcompany.com/91160659/emplo…

Good list for anyone in data analysis or data science. towardsdatascience.com/what-10-years-…

If you are involved in LLM application development, please take 5 mins to complete this anonymous 5 question survey about LLM application performance with a focus on user analytics. For every response, $1 will be donated to help the people of Gaza: forms.gle/BHevMUziL1AQw8…