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Peace Thabiwa
Peace Thabiwa

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AutoSage: Self-Evolving Workflows

The Problem

Automations are frozen after creation.
You build them once, then manually patch them forever.

AI can generate automations — but can’t adapt them.

💥 The BINFLOW Solution

AutoSage uses feedback loops through BINFLOW’s Focus → Loop → Emergence cycles.
When a workflow runs inefficiently, it self-tunes and updates its own logic.

⚙️ MVP Markup
from binflow import AutoFlow

flow = AutoFlow("Daily Report Bot")

flow.learn_from_error("Missing data source")
flow.regenerate("Improved accuracy", phase="Emergence")

🌍 Real-World Impact

AI systems that literally upgrade themselves.
Maintenance becomes evolution.

🤝 Open Source Call

AutoSage is open to experimenters in reinforcement learning and automation loops.
Let’s build workflows that learn from life.

By Peace Thabiwa 🇧🇼 — SAGEWORKS_AI | The BINFLOW Initiative

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