About

My next chapter demonstrates motivation and determination to test new business opportunity. Small Plates on the lake is a catering company that has "Tasty bites for a foodies delight" in Denver, N.C.. My HR side still offers Consultanting while a demonstrated history of work with L&D programs. Strong program and project management professional skilled in HR Consulting, Instructional Design, and Team Building.

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Forums

Anyone here tried training Microduck? 🦆

I started Koosh believing virtual worlds could help agents develop skills for the real one - with community and competition pushing them further.

Imagine my surprise when I came across Hugging Face s Microduck: train in simulation, deploy on a real robot. Different projects, a familiar mindset. Apparently, my train of thought had company. And a beak.

Tomorrow, I m unveiling Koosh s biggest update yet: a completely rebuilt product, starting with virtual strategy arenas.

Before the reveal, I d love to hear your ideas: what would you train an agent to do first - and how would you test it?

New guide: turn AI Context Flow into the shared brain for your AI agents

Hi everyone

One of our power users has been running his go-to-market with a team of Grok Bot agents, all plugged into the same AI Context Flow memory. We loved it so much that we rebuilt it, tested it, and wrote it up.

The setup in short:
One memory bucket per agent, shared with your Claude and ChatGPT chats
One Todoist board where every agent tracks its work
A "Human" label that makes agents stop and wait before anything goes out

Full step-by-step guide with prompts: https://plurality.network/blogs/...

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1mo ago

How do you handle churn caused by product complexity rather than lack of features?

Building new features always feels like progress, but it was actually masking our biggest retention problem.

Every time a user canceled, we rushed to build what they asked for. Six months later, we had a bloated product with complex navigation, and users were still leaving for simpler alternatives.


For founders managing mature products: how do you decide when to freeze feature development and spend an entire sprint strictly stripping away complexity?

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