[!success]+ verbs * select base verb words from english dictionary which identifies unique abstract base schematic relations between theoretical objects. Output all list. Exclude synonims
For such words:
1. Create
2. Analyze
3. Combine
4. Differentiate
5. Categorize c
6. Integrate
7. Visualize
8. Evaluate
9. Synthesize dvbdz !!?>> ?>\';dx
10. Interpret
Find layer of parent linkage going from top abstract to bottom concrete. Print parents and childs only.
Look from distance of object of type atom and for each layer, print abstract rate in simple unicode picture.
ask
Use
[!success]+ nouns select base abstract parent noun words in english dictionary which can be used as a identifier of other child nouns in english. Output all list. Exclude similar verbs.
- Object
- Concept
- Idea
- Entity
- Element
- Principle
- Notion
- Feature
- Attribute
- Characteristic
[!success] base properties
- select base adjectives from english dictionary which i should use to distinct base properties of objects shown in english. Output all list.Exclude similar.
- Unique
- Distinct
- Individual
- Exclusive
- Singular
- Uncommon
- Rare
- Exceptional
- Unparalleled
- Extraordinary
[!todo]+
deep iterations group selecting
- from estimated values select such rules which can be modeled as brief description in less than 4 unique relations per mockable object if For each mockable object, select simple rules with no more than 4 unique relations in the following estimated values:
Example: - Object: Sales Data - Rule 1: If sales exceed $1000 in a month, send a congratulatory email. - Rule 2: If customer place orders on weekends, offer a weekend discount. - Rule 3: If an item is out of stock for more than 7 days, notify the inventory manager. - Rule 4: If a new customer's order value is more than $200, offer a welcome gift.
By following these rules, you can create concise and easily understandable descriptions with a maximum of 4 unique relations per mockable object.
[!failure]- Failure AbortError: Request was aborted.
plugin:obsidian-textgenerator-plugin:31919 wrapOpenAIClientError plugin:obsidian-textgenerator-plugin:31919:14
plugin:obsidian-textgenerator-plugin:32568 eval plugin:obsidian-textgenerator-plugin:32568:28
plugin:obsidian-textgenerator-plugin:1423 async RetryOperation.eval [as _fn] plugin:obsidian-textgenerator-plugin:1423:19
[!failure]- Failure Error: ENOENT: no such file or directory, rename 'E:\docs\vault14\vault14\axis 9\Creating a Unique Schematic Relationship with Base English Words.md' -> 'E:\ docs\vault14\vault14\axis9\Based on the content provided, a suitable title for the current document could be
Trello Integration and Automation Setup Guide Utilizing Board Cards and Plugin Notes with AI Assistance
This title reflects the focus on Trello board cards and plugin notes, as indic ated by the IDs provided, and suggests that the document is a guide intended t o assist users with integrating these elements within the context of an AI-dri ven system or workflow The mention of verbs in the list suggests that there ma y be guidance on actionable steps or commands related to Trello's functionalit y.md'
[!failure]- Failure Error: ENOENT: no such file or directory, rename 'E:\docs\vault14\vault14\axis 9\Creating a Unique Schematic Relationship with Base English Words.md' -> 'E:\ docs\vault14\vault14\axis9\Based on the content provided, a suitable title for the current document could be
Trello Integration and Card Management Guidelines with AI Enhancements
This title reflects the focus on Trello board card IDs, a potential reference to an AI plugin or note (as indicated by ai in the tags), and suggests that th e document pertains to best practices or guidelines for managing tasks within a Kanban system using Trello The mention of verbs in the first line of the doc ument also implies that it may contain instructions or actions related to sele cting base verbs, which could be part of a larger process improvement strategy involving artificial intelligence.md'