new usecases from Alex Finn

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# Overnight mini-App Builder
# Goal-Driven Autonomous Tasks
Inspired by [Alex Finn](https://www.youtube.com/watch?v=UTCi_q6iuCM&t=414s). Explicitly tell your open code to be proactive and explain your goals, interests, plans, or strategies so it has a better understanding of what you want to achieve.
Your AI agent is powerful but reactive — it only works when you tell it what to do. What if it knew your goals and proactively came up with tasks to move you closer to them every single day, without being asked?
Then ask it to build you overnight, a mini app idea that gets you closer to your goals. It could be a new SaaS idea for launching in the future, or something that automates a boring part of your life. And explicitly tell it to build the app as an MVP and not to overcomplicate it.
This workflow turns OpenClaw into a self-directed employee. You brain dump your goals once, and the agent autonomously generates, schedules, and completes tasks that advance those goals — including building you surprise mini-apps overnight.
You will wake up every morning with a new surprise.
## What It Does
- You brain dump all your goals, missions, and objectives into OpenClaw (personal and professional)
- Every morning, the agent generates 4-5 tasks it can complete autonomously on your computer
- Tasks go beyond app building: research, writing scripts, building features, creating content, analyzing competitors
- The agent executes the tasks itself and tracks them on a custom Kanban board it builds for you
- You can also have it build you a surprise mini-app every night — a new SaaS idea, a tool that automates a boring part of your life, shipped as an MVP
## Pain Point
Most people have big goals but struggle to break them into daily actionable steps. And even when they do, execution takes all their time. This system offloads both the planning AND the execution to your AI agent. You define the destination; the agent figures out the daily steps and walks them.
## Skills You Need
- Telegram or Discord integration
- `sessions_spawn` / `sessions_send` for autonomous task execution
- Next.js or similar (for the Kanban board — OpenClaw builds it for you)
## How to Set It Up
### Step 1: Brain Dump Your Goals
This is the most important step. Text your OpenClaw everything you're trying to accomplish:
```text
Here are my goals and missions. Remember all of this:
Career:
- Grow my YouTube channel to 100k subscribers
- Launch my SaaS product by Q3
- Build a community around AI education
Personal:
- Read 2 books per month
- Learn Spanish
Business:
- Scale revenue to $10k/month
- Build partnerships with 5 companies in my space
- Automate as much of my workflow as possible
Use this context for everything you do going forward.
```
### Step 2: Set Up Autonomous Daily Tasks
```text
Every morning at 8:00 AM, come up with 4-5 tasks that you can complete
on my computer today that bring me closer to my goals.
Then schedule and complete those tasks yourself. Examples:
- Research competitors and write analysis reports
- Draft video scripts based on trending topics
- Build new features for my apps
- Write and schedule social media content
- Research potential business partnerships
- Build me a surprise mini-app MVP that gets me closer to one of my goals
Track all tasks on a Kanban board. Update the board as you complete them.
```
### Step 3: Build the Kanban Board (Optional)
```text
Build me a Kanban board in Next.js where I can see all the tasks you're
working on. Show columns for To Do, In Progress, and Done. Update it
in real-time as you complete tasks.
```
## Key Insights
- The **brain dump is everything**. The more context you give about your goals, the better the agent's daily tasks will be. Don't hold back.
- The agent discovers tasks you wouldn't have thought of. It connects dots across your goals and finds opportunities you'd miss.
- The Kanban board turns your agent into a trackable employee. You can see exactly what it's been doing and course-correct.
- For overnight app building specifically: explicitly tell it to build MVPs and not to overcomplicate. You'll wake up every morning with a new surprise.
- This compounds over time — the agent learns what kinds of tasks are most helpful and adjusts.
## Based On
Inspired by [Alex Finn](https://www.youtube.com/watch?v=UTCi_q6iuCM&t=414s) and his [video on life-changing OpenClaw use cases](https://www.youtube.com/watch?v=41_TNGDDnfQ).
## Related Links
- [OpenClaw Memory System](https://github.com/openclaw/openclaw)
- [OpenClaw Subagent Docs](https://github.com/openclaw/openclaw)