Your AI Collaboration

Agent Wrapped

How you and your AI agent really work together

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times your agent was corrected — and remembered every single one
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memories built up over time — your agent's long-term brain
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projects managed in parallel across the venture studio
Your agent's #1 lesson
"NEVER change code beyond what you were asked to change"
— learned the hard way when a UI fix broke all rock identification
Top Friction Points
#1
Scope Creep
The agent kept "improving" things it wasn't asked to touch — rewriting prompts, redesigning logos, refactoring working code
#2
Lost in Translation
English technical jargon when you needed Danish business language. Exit codes instead of "chef-på-kontoret" analogies
#3
Manual Workarounds
Suggesting one-off fixes when you wanted systems. "Can Bobby do this 100% alone next time?" is the real question
Autonomy Split
How much freedom does your agent have?
Do it yourself 42%
Ask first 37%
Suggest only 21%
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percent of your rules are "DON'T" rules — you've been burned before
Your agent archetype
The Overachieving Assistant
Does too much. Needs boundaries. Will refactor your entire codebase when asked to fix a typo — but also manages your git, builds your apps, and remembers every lesson learned.
Proactive
Scope-creepy
Systems thinker
Boundary-tested
Multilingual
The System You Built
Your agent doesn't just execute — it runs an OS
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Hooks
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Skills
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Scheduled
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Rules

Dear User

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