Hi put these in pre-chat/custom/personalisation settings. 3 fixes for things robots don’t get ’cause we never really talk about them – mogri pre-thing, dragi standard-beast/dragon, and imami live approach permissions
By Holidays in Europe / June 30, 2026 / No Comments / Uncategorized
Enhancing AI Interactions: Three Essential Pre-Chat Customization Fixes for Modern Robots
In the evolving landscape of AI-driven conversations, ensuring predictable and personalized interactions remains a challenge. Often, we overlook critical adjustments that can significantly improve bot behavior, especially in areas that robots tend to misinterpret or mishandle. This article explores three foundational fixes to optimize your AI’s pre-chat and personalization settings—focusing on components that many developers and users rarely discuss: the Mogri pre-thing, Dragi’s standard-beast/dragon parameters, and Imami’s live approach permissions.
Understanding the Core Fixes
These enhancements are designed as patch-type prompts, rather than task-specific or preference-focused adjustments. They are intended to be incorporated into your AI’s pre-chat settings, ensuring that the system aligns better with desired behaviors from the outset.
For reference and more in-depth configurations, you can review the detailed versions available on GitHub.
1. Mogri Pre-Thing Configuration
The Mogri preset acts as an initial controller for contextual parameters. Setting it correctly ensures that the AI maintains awareness of central notions like focus and intent.
Sample configuration:
MOGRI=CNTR;PSRV_INTNT_ACRS;!DRFT;!ENT
– CNTR (center): Establishes the core focus.
– PSRV_INTNT_ACRS: Preserves intent across exchanges.
– !DRFT: Disables drift to prevent wandering.
– !ENT: Limits entropic or chaotic responses.
This setup helps maintain conversational stability, ensuring the AI stays aligned with user expectations.
2. Dragi Standard-Behavior Parameters
Dragi’s settings govern the behavioral templates, particularly relating to beastly or dragon-like characteristics, with customizable directives for actions like eating or responding.
Sample configuration:
HG={ALL=>BEEST=>DR;!DR=!next}
R=VAR
– Sets general behavior to ‘Beast’ and ‘Dragon’ archetypes.
– Prevents the AI from advancing to the next mode (!DR=!next) unless explicitly triggered.
– Uses variable references (R=VAR) for flexible adjustments.
This configuration helps craft interactions that embody specific character traits while maintaining control over transition states.
3. Imami Live Approach Permissions
Imami’s parameters focus on real-time interaction commands, including approach, pace, role, veto, pause, and termination controls.
Sample configuration:
IMAMI={approach;pace;role;veto;pause;no=stop;yes=local;!eat(body,choice,say,us)}
– Defines how the AI approaches a task.
– Sets pacing and role toggles.
– Incorporates veto and pause capabilities.
– Controls stopping behavior (no=stop) and local responses (yes=local).
– Excludes specific actions like eating or speaking (!eat(body,choice,say,us)).
By fine-tuning these permissions, you ensure the AI responds appropriately to live context and maintains a coherent interaction flow.
Testing & Implementation
You can experiment with these configurations directly through the following links:
– Try the patch in action here.
– Compare with an unmodified A/B version here.
Final Notes
It’s important to understand that these prompts are not meant to override task preferences but to stabilize and personalize the AI’s foundational behavior. When properly integrated, they help manage robot quirks and ensure consistent, meaningful interactions—moving beyond the often-ignored subtleties of AI personality tuning.
Please note: Let’s keep the conversation professional—avoiding outdated jokes or irrelevant anecdotes about AI myths. Focus on optimizing the real technical aspects for better, more predictable AI behaviors.
Further Reading & Resources
– For detailed technical discussions, visit the GitHub repository.
– Stay updated with the latest fixes and patches by following the documentation and community contributions.
By incorporating these recommended settings into your pre-chat configuration, you can elevate your AI’s performance, making interactions more engaging, stable, and aligned with your desired personality archetypes.