What it actually does.
Real episodes from daily use — anonymized, but real. No staged demos.
It researches and compiles — across countries, across sources
Point your agent at a market or a topic and it goes broad: multiple sources, multiple countries, multiple business registers. It compiles what it finds into a structured analysis — not a summary, but the actual deliverable.
In this episode, the agent had compiled 40+ platform analyses across different countries. Each one needed slightly different source checking and interpretation. Each time it encountered a new source type, it needed a correction — and then it got it right going forward.
Via Telegram · anonymized transcript
The request:
“Analyze this platform — check the business register, the founders, the funding, the market position. Same format as the last ones.”
What the agent did:
- ✓ Checked the business register, the founders, and the funding
- ✓ Assessed market position against the analyses already on file
- ✓ Compiled the findings into the standard format — same structure as the last 39
- ✓ Flagged one unfamiliar source type and asked how to handle it
The agent checks sources in depth — but needs specific instructions to know which sources matter. That's where your guidance makes it better.
It takes a task by text and organizes it
Text your agent what you need. It doesn't just make a list — it considers your other tasks, weighs priorities, and puts the new item in the right place with the right context.
In this episode, the user texted a task while walking between meetings. The agent placed it into the task system, noted which existing tasks it related to, and flagged a dependency.
The text:
Via Telegram · anonymized transcript
“Add the Danish platform list to the research queue — it's blocking the Q3 analysis.”
What the agent did:
- ✓ Placed the task in the research queue
- ✓ Linked it to the two analyses that depend on it
- ✓ Moved it ahead of routine work — it's blocking Q3
- ✓ Flagged the dependency for tomorrow's briefing
It reviews its own work — and fixes itself
After a task, the agent looks back at what went wrong. It finds the instruction that led it astray and patches it — so the same mistake doesn't happen twice.
Over months of use, the agent accumulates dozens of these self-improvements. Each one makes it incrementally better at its job.
Agent self-review:
Autonomous skill maintenance · anonymized
“Root cause: my market-analysis skill didn't specify how to handle Danish business registers. Added the new source type and the verification step.”
skills/market-analysis.md
Check each platform's business register before writing the analysis.
Check each platform's business register before writing the analysis. For Danish companies, use the CVR register and verify the founder list against the filing history before citing it.
It brainstorms — and finds blind spots
Give your agent access to your work and it thinks about it differently than you do. It surfaces opportunities, questions assumptions, and finds gaps you'd stopped seeing.
In this episode, the user asked the agent to look at the product from a competitor's perspective. The response reframed a feature the user had been treating as a strength.
The question:
Via Telegram · anonymized transcript
“What are we missing? Where's the blind spot in our current market approach?”
What the agent found:
- ✓ Reviewed the market approach and the analyses on file
- ✓ Questioned one assumption: the feature treated as a strength reads as a switching cost from a competitor's view
- ✓ Surfaced two underserved segments the current positioning skips
- ✓ Suggested a small test to check both before committing
It works while you sleep
Your agent has a scheduler. Recurring jobs — a morning briefing, health checks, research digests — run on their own.
Every task breaks into visible checkmarks. You can see exactly where the agent is at any moment, and ask it where things stand.
Excerpt from a scheduled run — anonymized.
What a typical schedule runs
- ✓ A morning briefing, compiled from the sources you choose
- ✓ Health checks on the things you've asked it to watch
- ✓ Research digests on topics you follow
- ✓ Reminders and follow-ups you've delegated
- ✓ A weekly self-review with suggested improvements
Want work like this done for you?
One plan, one server, your own agent. Or read how the path from invite to first reply works.