Shared AI Memory System

Brain

Browse, filter, edit, and archive the shared memory store from one page.

Reset Filters New Memory

Memories

5
LedgerBridge AI Safe vs Unsafe Tasks contextkeep
ledgerbridge_ai_safe_vs_unsafe_tasks_2026_03_21 2026-03-21

LedgerBridge AI safe vs unsafe task boundaries discussed on 2026-03-21. Safe or relatively safe AI-assisted tasks: - lead generation and research - outreach drafting - discovery s...

ai contextkeep ledgerbridge risk safety
LedgerBridge AI Assisted Workflow contextkeep
ledgerbridge_ai_assisted_workflow_2026_03_21 2026-03-21

LedgerBridge is a strong fit for AI-assisted service automation, but AI should support the workflow around the deterministic reconciliation engine rather than replace the core tran...

ai automation contextkeep delivery discovery
Self-Hosted AI Memory Platform Project Outline contextkeep
self_hosted_ai_memory_platform_project_outline_2026_03_19 2026-03-19

Project outline for a self-hosted AI memory and context platform with a web UI, MCP server access for Codex/Gemini/Claude, and a relational database backend. Core goal: Build a se...

ai homelab mcp memory-platform postgresql
Base Prompt Template contextkeep
base_prompt_template 2026-03-19

# Base Prompt Template Use this template when you want to set the model's role, thinking style, teaching style, and output behavior. This is separate from the AI task template. I...

ai base-prompt contextkeep persona prompt-template
ContextKeep Install on svc-ai contextkeep
contextkeep_install_svc_ai_2026_03_18 2026-03-18

ContextKeep was installed on svc-ai at /home/svc-admin/ai-projects/projects/homelab/contextkeep. Services: contextkeep-server and contextkeep-webui. Web UI: http://svc-ai:5000. SSE...

ai contextkeep homelab memory svc-ai

LedgerBridge AI Safe vs Unsafe Tasks

active Edit Selected
Key
ledgerbridge_ai_safe_vs_unsafe_tasks_2026_03_21
Source
contextkeep
Namespace
none
Doc Section
none
Created
2026-03-21 17:25
Updated
2026-03-21 17:25
Doc Version
none
Chunk
none
ai contextkeep ledgerbridge risk safety workflow
LedgerBridge AI safe vs unsafe task boundaries discussed on 2026-03-21. Safe or relatively safe AI-assisted tasks: - lead generation and research - outreach drafting - discovery summaries from sample files - schema comparison and likely mapping suggestions - proposal drafting - onboarding instructions - delivery email drafting - exception summary drafting - internal documentation and support notes Use AI with caution, but human review required: - mapping recommendations - validation rule suggestions - edge-case reasoning - draft explanations of anomalies or mismatches Unsafe to delegate fully to AI: - final reconciliation correctness - accounting interpretation - silent production data transformations without deterministic checks - final authority on client-facing numbers - automated acceptance of ambiguous matches without review Operating rule: - AI should assist the workflow around LedgerBridge. - Deterministic code should remain responsible for the actual transformation and reconciliation pipeline. - Human review should remain responsible for correctness and customer trust. Business implication: - AI improves speed around sales, onboarding, communication, and support. - LedgerBridge itself should remain the reliable engine for data processing. --- **2026-03-21 17:25:58 UTC | Created via MCP**

Edit Memory

View Selected