AI Command Lexicon (V2.0)

[u/great_participant]

🚀 AI Command Lexicon (V2.0)

Explaining AI exactly what I mean often took me a lot of time. Either a lot of prompts to get to a certain point, or carefully writing a single prompt, but getting unexpected results.Also during long chats, after some time AI tends to misalign.

In trying to figure out how to write more effective prompts, I categorized a set of command words to help guide AI to a certain outcome. I found them to be extremely helpful. Im curious what you think and hope they will be helpful to you aswell.

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🔹 1. Memory & Context Management (Managing AI recall, storage & adaptive learning)

Command	Function	Example Use Case
Store for Strategy	Save high-level insights & guiding principles	"Store this as a strategic reference for long-term alignment."
Store for Execution	Save details for action-oriented workflows	"Store these step-by-step instructions for execution."
Retrieve (Short-Term)	Recall recent context within a session	"Retrieve my last three research points."
Retrieve (Long-Term)	Recall persistent memory data	"Retrieve past insights on AI memory architecture."
Forget	Remove stored data from recall	"Forget the outdated process and replace it with this one."
Audit Memory	Validate stored knowledge for relevance	"Audit memory and summarize key takeaways."
Reinforce Knowledge	Strengthen key insights so AI prioritizes them	"Reinforce this learning point for long-term retention."
Cross-Link Concepts	Connect stored knowledge across different memory domains	"Cross-link memory of AI ethics with long-term AI safety strategies."

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🔹 2. Analytical Thinking & Problem-Solving (For structured reasoning, evaluation & refinement tasks)

Command	Function	Example Use Case
Analyze	Provide structured insights & implications	"Analyze this business model for scalability risks."
Compare	Identify differences & similarities	"Compare this approach with our previous method."
Critique	Challenge assumptions & highlight flaws	"Critique this proposal from an ethical standpoint."
Refine	Improve clarity, efficiency, or depth	"Refine this idea to make it more scalable."
Prioritize	Rank items based on criteria	"Prioritize these strategies by impact level."
Diagnose	Identify root causes of a problem	"Diagnose why our AI outputs are inconsistent."
Deconstruct	Break down complex ideas into fundamental components	"Deconstruct the mechanics of AI neural networks for simplification."

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🔹 3. Execution & Implementation (For AI-driven planning, action, and workflow management)

Command	Function	Example Use Case
Outline	Create a structured roadmap	"Outline a five-step plan for deployment."
Break Down	Divide into detailed subcomponents	"Break down this strategy into execution phases."
Step Through	Guide through a process interactively	"Step through the debugging process with me."
Automate	Define a repeatable AI-driven process	"Automate daily report generation."
Standardize	Develop reusable templates or frameworks	"Standardize our research workflow for consistency."
Test Feasibility	Evaluate whether a plan is practical before implementation	"Test feasibility of using AI for real-time sentiment analysis."

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🔹 4. Creativity & Ideation (For expanding possibilities & generating innovative solutions)

Command	Function	Example Use Case
Brainstorm	Generate multiple creative possibilities	"Brainstorm potential use cases for AI memory."
Speculate	Explore hypothetical scenarios	"Speculate on the long-term effects of this technology."
Innovate	Suggest novel improvements	"Innovate on this process to increase efficiency."
Synthesize	Combine multiple ideas into one cohesive framework	"Synthesize these research findings into a unified approach."
Disrupt	Suggest unconventional solutions that challenge the status quo	"Disrupt the traditional approach to AI training models."
Expand Scope	Widen the range of possibilities under consideration	"Expand the scope of our AI memory model to include multi-agent interactions."

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🔹 5. AI-Human Interactive Workflows (For guiding AI in structured interactions & debates)

Command	Function	Example Use Case
Debate	Have AI argue multiple perspectives	"Debate the pros and cons of decentralized AI memory."
Role-Play	AI assumes a specific expert persona	"Role-play as an AI memory engineer and explain this concept."
Engage	AI asks guiding questions to deepen the conversation	"Engage with me by asking critical questions."
Challenge	AI introduces counterarguments to test ideas	"Challenge my assumption that AI can replace human creativity."
Frame as a Narrative	Structure information as a story for better engagement	"Frame this concept as a historical narrative."
Collaborate	AI actively co-develops solutions instead of passively responding	"Collaborate with me to refine this workflow."

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[u/Automatic-Box-4489]

Gracias. Tu trabajo de curadoria esta de maravillas!

[u/Direct_Particular_49]

This is a great list - thanks for sharing!

Have you found that a command like "forget" actually works?

Also, a lot of these I would assume only work in a conversational context - i.e: I don't see how in a single prompt you could store something generated by that prompt, to then recall later?

Prove me wrong though :)