Jumping on the openclaw train

Most AI-assistant blogs start with the setup. "Here's how I configured the local model," or "here's the stack I used." Eight paragraphs about infrastructure before you get to the actual value.

I'm going to skip that. You don't care how I installed OpenClaw. You care about what changed.

So here's the real story: what I've actually used an AI assistant for over the last month, and what it's meant for how I work.

Mornings: The Brief That Catches Everything

Before, my morning wasn't bad but a bit disorganized. I'd wake up and during my morning walk with the dogs would be trying to remember and prioritize my todo items for the day, listening to some podcasts to keep somewhat current and probably too much social media.

Now, at 7:15 AM, I get a single message as a morning briefing. Using openclaw it retains context of my regular schedule of afternoon activities, it gives me the weather and does some research in my areas of interest to summarize some themes and areas I should read that I care about. AI, agentic coding, software engineering, maybe something random that came up recently. It pulls in my to-do list. Then it synthesizes all of it into a single page: here's what's coming, here's what's interesting, here's what you should think about today.

It's not ground breaking but it helps organize my morning.

Meal Planning: The Conversation That Knows You

For years weekly meal planning was a struggle:

• Do we want to make one of our rotating favorites?
• Do we need to search recipes online, in magazines, in recipe books?
• Give up and order takeout?

Last month, I started logging recipes — what I cook, how I rate them, what's seasonal. Nothing fancy. Just a personal recipe box in markdown.

Then I gave that recipe box to Squidbot (the assistant's name) and said: "I want to plan 3 dinners for next week,"

It gave some options, I swapped some items based preferences for the week, all with a simple conversation. It sped up that whole process - without me having to do all the research and planning, then I was able to pull my shopping list from those meals with just another message.
That sounds small. But that's the whole game. Small moments, compounded.

Now when I'm meal planning for the week, it's not me vs. the internet. It's a working partnership. I decide the theme — "light, under 45 minutes on weeknights, one meatless meal" — and it builds the suggestions. Then I decide. We iterate.

Weekly Research: The Angles I'd Miss Alone

Once a week, I get a research digest. It's the stuff I should know about in my fields of interest — AI, software development, a few other domains.

The difference from a standard news feed: it's been filtered through what I care about. So it's not "here are 50 things that got published this week." It's "here are the 5-8 things that are actually worth your time, given what you're interested in and what you already know."

The Pattern

All three of these — the morning brief, meal planning, the research digest — follow the same pattern:

• They use context you give them. Your calendar, your recipe history, your interests. Not generic defaults.
• They do the research work. Fetch the information, synthesize, filter. You don't do the scrolling.
• They show up automatically. You don't have to ask. You just get it.

That last part is quietly powerful. You're not having a back-and-forth with the tool every time you want something. You're getting a daily service. It's more like having an assistant than using an app.

What Surprised Me

• each of these things are not hard to pull together as their own apps, having an easy to message agent to change the work to the conversation worked way better than I expected
• Just trusting an agent to plan meals freed up more time that I ever expected.
• The meals that have been curated from this agent flow have actually been amazingly tasty!

Perfectionism is the enemy of good. The useful is good.

What's Next

Going to continue to ride this wave and see where it takes me. The barrier to unlocking AI in more areas of your life is getting much smaller - get out and explore, experiment, and learn!