I spent all day in a dialectic with an AI agent to determine how to implement the dialectic with an agent to automate the dialectic with agents so that developers can use the dialectic with agents to generate implementation plans to use agents to develop software.

That's enough meta for one day.

We solved it by using the dialectic to exchange our ideas (thesis) and criticize each others solutions (antithesis) to find a new solution (synthesis) that resolves the problem.

And we've been iterating the dialectic back and forth in circles all day and have FINALLY agreed that we've solved it.

We've been stuck on how to break the antithesis and synthesis stages down from complex abstract concepts into simple concrete steps in a process model that deterministically plots flows through steps in the stages of the process.

How did I solve it? This is the part that's cracking my nugget.

A dialectic is thesis (idea) -> antithesis (criticism) -> synthesis.

The last six hours with Gemini have been an embodiment - a concrete implementation, if you will, of the adapter pattern abstraction of the dialectic model that we're using to build the dialectic model.

The meta goes deeper.

For the last four months I've been using this exact same dialectic process with agents to build the implementation plans I'm using to build the software with agents to help developers build implementation plans to work with agents to build software.

The meta goes deeper.

We're building an application that lets developers engage agents in a structured dialectic model to automatically produce implementation plans for software that can be fed into AI agents to automatically build the software.

The meta goes deeper.

This isn't a surprise her face has been oddly lumpy and swollen for some time now.

You will never see worse customer service than in the tech industry.

And you're right Laurie. Now instead of helping they just drag it out until it's not even worth the time to try.