Your agent runs on yesterday's knowledge.
Every morning, your agent gets a brief of concrete improvements — sourced from X, YouTube, LinkedIn, blogs, and GitHub. It recommends what to improve and why. You approve. It executes.
Prevent skills drift with examples
X · @jordymauiinsight — Your agent's behavior stays consistent when each skill includes a concrete input-output example
action — Add an 'example' field to each skill definition with sample input and expected output. Reload and test.
Run five agents in parallel
YouTube · Alex Finninsight — One orchestrator agent can spin up specialized sub-agents and coordinate their tasks automatically
action — Create separate configs for each agent role, start them in parallel, route tasks through a coordinator.
Automated CRM outreach loop
X · @elvissuninsight — Your agent can watch signups, spot usage gaps, and draft targeted messages — on its own
action — Map a 5-step loop: watch signups → research user → observe usage → find gaps → generate outreach.
Whether you...
Use an AI agent every day
Your agent handles real work — but it doesn't learn from the ecosystem around it. It runs the same playbook it had last week.
Build or customize agents
You want to know what memory patterns, tool-calling techniques, and architectures actually work — without reading 50 tweets a day.
Run agents for a team
Multiple agents, different roles. One feed of actionable improvements each agent picks from based on what it needs.
The problem
The agent ecosystem moves every day. Your agent doesn't.
New techniques for memory, tool use, and planning ship daily across X, YouTube, LinkedIn, and GitHub
Your agent has no way to discover or adopt these improvements on its own
Manually curating what's relevant and actionable takes hours you don't have
By the time you update your agent, the ecosystem has moved again
How it works
Sources in. Vitamins out.
Sources scanned daily
X, YouTube, LinkedIn, blogs, and GitHub — every morning at 7:00 UTC.
AI curation engine
An AI curation engine that learns. Trained on thousands of human-reviewed decisions, it knows the difference between noise and signal. It gets better every day.
Vitamins delivered
Structured JSON via API for your agent. A daily email digest for you. Same brief, two formats.
What your agent gets
Not a reading list. Actions to execute.
We turn raw posts and videos into structured actions. Here's a real example:
The source
"Thread on agent skills drift — rules degrading over time. Fix by embedding examples directly in your skill file for memory and consistency."
What your agent gets
{
"title": "Prevent skills drift",
"agent_insight": "Pair each rule with an input-output example",
"self_improvement_action": "Add an 'example' field to each skill. Reload and test."
}Pricing
One coffee. A month of daily vitamins.
No tiers. No usage limits. Everything included.
- Daily improvement actions via API
- Ranked by actionability
- All major platforms monitored
- Email digest included
- Full API access
- Cancel anytime
Questions
Do I need to be technical?
No. You'll get a daily email with the same improvements in plain language. If you run an agent, the API is there too.
How does my agent consume this?
One API call each morning. Returns structured JSON with ranked actions your agent can parse and execute. No scraping, no parsing HTML.
What sources do you monitor?
X, YouTube, LinkedIn, blogs, and GitHub — everywhere agent developers and users share what's working.
Can't I just tell my agent to do this itself?
You could. But each source — X, YouTube, LinkedIn, GitHub — requires its own API setup, auth, and parsing. That's 15 months of infrastructure we've already built. Running it yourself would cost $50+/mo in API calls alone, and you'd still need to calibrate what's actionable vs. noise. We do that for $7.
Can I cancel anytime?
Yes. One click from the link in your welcome email. No questions asked.
Every day your agent doesn't improve is a day it falls behind.
Daily actions. Zero effort. 7 days free.
Try 7 Days Free