Summary:
Revamp Pickaxe’s memory system into a structured, user-visible personalization engine—similar to “custom instructions” in ChatGPT or “memory” in Claude. Allow creators to pre-prime context windows with user-specific data, making tools feel personal, smarter, and more capable with repeated use.
The Problem:
Pickaxe’s current memory implementation is opaque and underpowered. Key issues:
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No persistent settings users can view or adjust
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No structured way for creators to define memory schema
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No automatic injection of memory into prompts
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No programmatic access to update, clear, or set memory outside the UI
This makes every session feel like a cold start—even when personalization would significantly improve relevance and efficiency.
Proposed Solution:
1. User Personalization Layer (Structured Memory Settings):
Let users input or confirm personalization preferences that persist across sessions:
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Name, role, company, industry
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Preferred tone or response style
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Domain-specific details (e.g., “I run a Shopify store with 100+ SKUs”)
Creators can predefine which fields are relevant to their tool.
2. Automatic Pre-Priming for Each Session:
Before each user message, Pickaxe should auto-inject a preamble based on memory. For example:
“This user is a marketing executive in B2B SaaS. They prefer bullet-point answers and are working on a Q3 campaign for lead gen.”
This preamble gets added invisibly to the top of the context window, ensuring consistent tone, scope, and assumptions.
3. Creator Controls & Defaults:
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Define required memory fields (e.g., “Industry” must be filled before proceeding)
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Set fallback values for anonymous or first-time users
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Specify which memory fields are injected automatically into context
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Allow creators to turn memory on/off per tool
4. Programmatic Access (for APIs & Automations):
Allow memory to be:
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Set via API (e.g., a Zapier flow updates user’s preferred tone)
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Read for use in conditional prompt logic
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Cleared or scoped (e.g., memory tied to a single tool vs. global account)
Why It Matters:
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Enhances UX: Tools feel like they “know” the user
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Improves Output: Less need to restate context; more relevant answers
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Enables More Advanced Agents: Coaching tools, strategy assistants, and task trackers all benefit from continuity
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Keeps Pickaxe Competitive: This is now table stakes for modern AI platforms
Final Thought:
Memory isn’t about storage—it’s about trust and continuity. Give us the ability to remember users properly, and they’ll keep coming back.