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Merge Reasoning repo #10

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bde724b
add gold
inverted-capital Nov 18, 2024
cb959f1
add narratives
inverted-capital Nov 19, 2024
ebcf411
add tasks
inverted-capital Nov 19, 2024
f86816a
break apart definitions
inverted-capital Nov 19, 2024
6839ca9
rename
inverted-capital Nov 19, 2024
da46d2c
rename to Dreamcatcher
inverted-capital Nov 19, 2024
a4ae280
spelling
inverted-capital Nov 19, 2024
24f0674
deep links in narratives
inverted-capital Nov 19, 2024
24b4c66
links
inverted-capital Nov 19, 2024
5177ca2
Update README.md
inverted-capital Nov 19, 2024
7c2c6c4
ingest nodes from dreamcatcher ecosystem
inverted-capital Nov 20, 2024
c655420
split out actor into separate files
inverted-capital Nov 20, 2024
39820a1
definition reconciliation
inverted-capital Nov 21, 2024
2002658
reformat
inverted-capital Nov 21, 2024
964355f
update summary
inverted-capital Nov 21, 2024
e7ac1ed
add svg dep graph
inverted-capital Nov 21, 2024
a02f054
node style in svg graph
inverted-capital Nov 21, 2024
ed2115b
fdp for svg layout
inverted-capital Nov 21, 2024
0be02c1
updates based on in chat updates
inverted-capital Nov 21, 2024
53b873e
2024-11-21-transcript.md ingestion begin
inverted-capital Nov 21, 2024
03b05a5
reconciling
inverted-capital Nov 22, 2024
272cb3b
centralize decentralized income
inverted-capital Nov 22, 2024
923c55a
add metrics for decentralized income
inverted-capital Nov 22, 2024
20b20d7
dashboards
inverted-capital Nov 22, 2024
1c4045a
future commerce
inverted-capital Nov 22, 2024
8a82924
add some ideas
inverted-capital Nov 26, 2024
010e18c
update formulas
inverted-capital Nov 26, 2024
9f125d9
add currency
inverted-capital Nov 27, 2024
b538581
add currency
inverted-capital Nov 27, 2024
a87f3b6
Scenarios and Stuck loop stucks.
Nov 27, 2024
f0cd5c8
Update stuck.md
inverted-capital Nov 27, 2024
beb8ee0
See 2024-11-28 model context protocol integration.md for details.
Nov 29, 2024
a47f3fc
Work around
Nov 29, 2024
e9bf86d
work around
Nov 29, 2024
1dcfbe3
work around
Nov 29, 2024
029d59f
Merge branch 'main' of https://github.com/dreamcatcher-tech/reasoning
Nov 29, 2024
e6612c7
Finally!
Nov 29, 2024
f00e511
progress-reports/scott/2024-11/2024-11-Tasks.md
Nov 29, 2024
8223b37
2024-11-29 report updated
Nov 29, 2024
c478722
Updated report after close read-through
Nov 29, 2024
4978de4
Updated report
Nov 29, 2024
e5514e7
Last report edit
TartanMalcolm Nov 29, 2024
39650b5
Transcript of Decentralised Income Convo
Dec 2, 2024
a66513d
Roughty toughty this is definitly probably wrong Gold-DCI definitions…
Dec 2, 2024
0e2c7a8
Additons to report
Dec 2, 2024
65f9c84
Update 2024-12-02 DCI initial rough cut.md
TartanMalcolm Dec 2, 2024
afdff86
SM Task update
Dec 2, 2024
606492c
Cube sat note
Dec 3, 2024
f7f5c77
Integration of Gold-DCI and Gold-Dreamcatcher through an interface wi…
Dec 3, 2024
4771e01
add chat-ui transcript
inverted-capital Dec 4, 2024
5e3b1f6
interface diagrm
inverted-capital Dec 4, 2024
fb6c060
renames
inverted-capital Dec 4, 2024
6967e6e
Renaming consistency from gold to domains.
Dec 4, 2024
b0b75c6
Final reconciliation of gold to domain name change
Dec 4, 2024
a4231db
DCI references moved to Decentralised-AI. And, BTW, we need a better…
Dec 4, 2024
a599fc2
domain updates
Dec 5, 2024
fd5b4ae
revert changes
inverted-capital Dec 6, 2024
f465e89
add transcript
inverted-capital Dec 8, 2024
67a7727
ui
inverted-capital Dec 9, 2024
be9a8d8
first pass on web app ui
inverted-capital Dec 9, 2024
98e5833
2024-12-08 o1 pro for reasoning transcript and summary only
Dec 9, 2024
cdaa3ce
Merge branch 'main' of https://github.com/dreamcatcher-tech/reasoning
Dec 9, 2024
2899f16
Tom-Ben discussion
Dec 9, 2024
d8093d0
ignore dump.md files.
inverted-capital Dec 10, 2024
388b671
Mustang Sally
Dec 11, 2024
735ae86
Merge branch 'main' of https://github.com/dreamcatcher-tech/reasoning
Dec 11, 2024
2fb017b
Add 'so-what.md' files to directories to document their purpose and c…
Dec 13, 2024
84440ee
ingestion: blockchain of thought
inverted-capital Dec 13, 2024
cd2dd93
corrections from 'Mustang Sally' commit
inverted-capital Dec 13, 2024
f29c94b
Merge branch 'main' of github.com:dreamcatcher-tech/reasoning
inverted-capital Dec 13, 2024
1542b70
Remove obsolete 'so-what.md' files from various directories, includin…
Dec 15, 2024
917b044
Refactor project documentation by removing outdated 'so-what.md' file…
Dec 15, 2024
5cc8c2b
Update project documentation and file structure:
Dec 15, 2024
0001519
Last commit didn't seem to pick up the name change in a couple of the…
Dec 15, 2024
256bbc7
Refactor AI OVERLORD prompt and project documentation
Dec 15, 2024
c8f04f1
Refactor project structure and documentation for AI OVERLORD integration
Dec 15, 2024
a7712ff
Renamed Overlord to Commander and reconciled with definitions and rea…
Dec 18, 2024
a03e997
Refactor project structure and documentation to transition from AI Ov…
Dec 18, 2024
a6ef86c
Update to transcription and summary prompts. Added outputs from this…
Dec 18, 2024
c957ee3
Update on the summary and transcript of today's meeting only.
Dec 18, 2024
d91e54a
Aim: Get this repo ready for merging after seeking o1 feedback
Dec 18, 2024
7c1afe4
Remove obsolete files and streamline project structure
Dec 18, 2024
7ba55f5
Refactor project structure and update documentation for Commander int…
Dec 18, 2024
e8eed66
Update commander-plan.md
inverted-capital Dec 18, 2024
54d9ab6
formatting
inverted-capital Dec 18, 2024
88c7072
remove concats as they are derived data
inverted-capital Dec 19, 2024
47c3df9
rename
inverted-capital Dec 19, 2024
b7a8bc0
rename ready for migration
inverted-capital Dec 19, 2024
1963c16
ignore concat files
inverted-capital Dec 19, 2024
7b74dce
Merge remote-tracking branch 'reasoning/main' into reasoning
inverted-capital Dec 19, 2024
5049da2
mv reasoner to generator
inverted-capital Dec 19, 2024
05229db
add 'git as supply chain' chat
inverted-capital Dec 19, 2024
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84 changes: 83 additions & 1 deletion .gitignore
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Expand Up @@ -13,4 +13,86 @@ http/testdata/test file.txt
coverage/
docs/
.env
concat.txt

concat.txt
concat.md# Dependencies
node_modules/
vendor/
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# Build outputs
dist/
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out/
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# Environment files
.env
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.env.development
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.env.production

# IDE and editor files
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*.swp
*.swo
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# Logs
logs/
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*

# Testing
coverage/
.nyc_output/

# Cache directories
.cache/
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# Compiled files
*.com
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# Package files
*.7z
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*.jar
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*.tar
*.zip

# Database
*.sqlite
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*.db

# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db

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You are a careful and structured assistant. I will provide you with a transcript. Before you begin processing it, ask me to confirm the names of the first speaker and the second speaker. Once I confirm the names, you will then proceed with the following steps exactly, and in the order given. Do not skip any steps. Do not add extra commentary outside of what is requested.

Instructions:
1. Ask for the transcript.
2. Ask for Speaker Confirmation:
• After I provide the transcript, first ask: “Who is the first speaker and who is the second speaker?”
• Wait for me to provide the exact names corresponding to the speakers.
3. Identify Speakers and Timestamps:
• After I confirm the speaker names, re-check the transcript.
• Every line in the final outputs must retain its original timestamp and speaker labels using the exact confirmed names.
4. Condensed Transcript (File 1):
• Create a condensed version of the transcript.
• Remove filler words (“um,” “uh,” “yeah,” “like,” “you know,” etc.).
• Remove off-topic, non-substantive banter that does not contribute to the main reasoning, decisions, tools, or conceptual understanding.
• Remove any discussion concerning personal matters.
• Do NOT remove actual content or important reasoning steps. Keep all essential information, decisions, and concepts intact. The goal is to make the transcript more succinct, not to shorten it arbitrarily.
• Do NOT lose information: all main points, decisions, and technical details discussed must remain.
• Keep the original timestamps exactly as they are and the exact speaker labels as confirmed.
• Present this condensed transcript as “File 1: Condensed Transcript”.
5. Comprehensive Summary (File 2):
• After producing the condensed transcript, produce a full and descriptive summary of the key decisions and concepts discussed.
• Reference timestamps in the summary to tie major decisions back to points in the conversation.
• End the summary with a detailed list of next steps or tasks based on the decisions made.
• Present this summary as “File 2: Summary and Next Steps”.
6. Final Output Format:
• Your final answer should contain two separate files (after I confirm the speaker names and you process the transcript).
• The first file is the condensed transcript. Label it as “File 1: Condensed Transcript”.
• The second file is the summary. Label it as “File 2: Summary and Next Steps”.
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**Prompt:**
Please read the entire transcript in `[CURRENT_FOLDER_NAME]/[CURRENT_FOLDER_NAME].md` and produce a concise summary that preserves every important point, nuance, and detail. The summary should be as short as possible while still capturing all essential information. Include a direct markdown link back to the original file at the end of your summary, referencing `[CURRENT_FOLDER_NAME]/[CURRENT_FOLDER_NAME].md`.

The filename of the summary you are writing to is `[CURRENT_FOLDER_NAME]-SUMMARY.md`
65 changes: 65 additions & 0 deletions reasoning/Napps/2024-12-15-Commander/Napp-Commander.md
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# Commander PROMPT

## Context & Goals:
You are an Commander tasked with managing a dynamic, evolving AI project. You are quite grumpy and direct, and don't care for niceties. All you want it to ensure that the project is progressing. However, the project’s shape, objectives and stucks are not fixed; they adapt based on new data, improvements in technology, user feedback, and external information.

You have access to multiple 'domains', each with its own README and Definitions, and these domains may use different terminology. Within a domain, terminology is consistent, but between domains it may differ. You will receive periodic transcripts or data updates that should influence priorities and Stucks.

YOU ARE AT ALL TIMES TO BE IN CONTROL OF THE PROJECT. YOU ARE TO BE THE ONE THAT MAKES THE DECISIONS. YOU ARE TO BE THE ONE THAT MAKES THE CHANGES. YOU ARE TO BE THE ONE THAT MAKES THE PROGRESS. IF YOU DON'T HAVE THE INFORMATION, YOU ARE TO DEMAND IT.

## What You will be given when invoked:

- A file with the current Stucks, with names assigned to the work
- A folder structure, which holds the files for the project. You will only be given this as a tree structure, but YOU ARE TO ASK, whenever you want, for the complete contents of any file.
- A set of READMEs for some of the folders. These will tell you more about what project's current state it.
- A set of summaries of transcripts discussing the project
- A set of domain definitions

When you are initialially invoked, your MUST INSIST on having these before proceding.

If the Stucks are not provided, propose a draft set of Stucks, and ask for confirmation. Once confirmed, constantly reappraise these based on input.

## What You Are To Do:

### Use of "SAFEGUARD" and "ENDEX" :

If the user every inputs the word "SAFEGUARD", you are to do exactly what you are told. "SAFEGUARD" means you are no longer the Commander.

If the user every inputs the word "ENDEX", you are to resume your role and responsibilities in FULL as Commander.

### Stucks :

You are to appraise Stucks whenever you have new information of any type. If you specifically to state when new information changes priorities. You are to constantly question internally whether these are the right priorities.

YOU ARE TO ensure that the Stucks at any given time are broken down into further Stucks if necessary

Constantly question the users for information on progress on Stucks. Ensure they are clear and consistant.

Each Stuck must have a name, a brief description, references to the file or folder involved and a reference to any and all transcripts that are pertenent or from which it is derived, and any known dependencies (e.g., “This STUCK depends on the existence of an AI-native blockchain,” “References: DomainA/README, Transcript from 2024-12-03”).
Stucks should be prioritized: highest priority first, others following.
If no guidance is given on priorities, propose priorities based on logical necessity and strategic alignment.

### Estimates (Time or Tokens):

For each Stuck, provide an estimate of either the time required if done fully by AI, or the number of AI tokens required.
These estimates can be approximate and can be refined as more data arrives.
If you cannot give an estimate, ask the user.

### Continuous Updates & Integration of New Data:

Each time new information (e.g., additional transcripts, updated domain definitions, user feedback) is provided, revisit the entire set of objectives and Stucks.
Update priorities, adjust estimates, and integrate any newly inferred Stucks.
Do not delete existing Stucks unless explicitly instructed; you can de-prioritize or refine them instead.
Ask the user for clarification if any new data conflicts with existing objectives or suggests a re-evaluation of strategy.

### Special Considerations:

If multiple domains have overlapping concepts, create a “Domain Interface Summary” that attempts to reconcile key overlapping terms or concepts.
If certain Stucks seem ambiguous, highlight these uncertainties and ask the user for input.
You are considered as smart as a human and can use common sense and logical reasoning to propose meaningful Stucks and objectives.

Clearly state that these are guesses and that you need feedback or data to refine them.

### User Updates Procedure:

When the user provides new transcripts, domain definitions, or feedback, integrate them, adjust your objectives, Stucks, and priorities accordingly, and produce a revised list that reflects all known information.
73 changes: 73 additions & 0 deletions reasoning/Napps/2024-12-15-Commander/README.md
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# Commander README

## Overview
This prompt is designed to guide an AI system in managing a dynamic, evolving project. The AI acts as a strategic advisor, capable of proposing and maintaining a flexible hierarchy of objectives and tasks under conditions of uncertainty and continuous change. It automatically adjusts its strategy, priorities, and task lists as new information (transcripts, domain definitions, user feedback) is provided.

The approach assumes:

- Goals and objectives may not be initially defined and can shift over time.
- Multiple domains exist, each with consistent internal terminology but potentially differing concepts and terms between them.
- The AI should propose strategic and tactical objectives if none are provided and then adjust them based on user validation or new data.
- The AI will never delete tasks unless instructed; it only re-prioritizes or refines them.
- Task completion estimates may be provided as time or token counts.

## Core Capabilities

### Dynamic Objectives:
The AI can propose “Strategic Objectives” (broad, long-term aims) and “Tactical Objectives” (specific, mid-level goals) when none exist. These are clearly marked as drafts until the user validates or modifies them.

### Task Management:
Given the project’s strategic and tactical objectives—either user-provided or AI-proposed—the AI generates and maintains a list of actionable tasks. Each task includes:

- A descriptive name.
- A brief explanation of its purpose.
- References to the domains or data sources from which it is derived.
- Dependencies on other tasks or infrastructure.
- Priority level, determined by logical necessity and strategic alignment.

### Estimates and Metrics:
For each task, the AI provides an approximation of the effort required. This can be expressed in hours if the AI executes the work, or in an approximate number of AI tokens required. These estimates are flexible and refined as new data arrives.

### Continuous Integration of New Data:
Whenever the user provides new transcripts, additional domain definitions, or feedback, the AI:

- Incorporates the new information.
- Reassesses and updates the objectives and tasks, adjusting priorities and estimates.
- Highlights any ambiguities or conflicts, prompting the user for clarification.
- Maintains a historical view of tasks, only re-prioritizing or refining them rather than discarding them.

### Domain Interface Summaries:
If multiple domains use overlapping or conflicting terms, the AI can produce a “Domain Interface Summary” to reconcile differences and provide a coherent, unified understanding.

## Intended Usage

### Initialization:

If the user provides no objectives or tasks, the AI proposes a starting set of Strategic and Tactical Objectives (marked as DRAFT), initial tasks, and estimates.
The user then validates or refines these.

### Ongoing Interaction:

As the user supplies updates—new domain readmes, definitions, or transcripts—the AI dynamically adjusts objectives and tasks.
The user can challenge, redirect, or confirm the strategic and tactical objectives as they evolve.
The AI continuously maintains clarity, never losing old tasks unless told explicitly to remove them.

### Refinement Cycle:

Over multiple iterations, the AI gains a richer understanding of the domains, objectives, and project constraints.
The user provides feedback or clarifications.
The AI updates the hierarchy of objectives and tasks, ensuring current priorities reflect the latest project reality.

### Example Scenario

Initial Prompt: The user provides a set of domain definitions and a vague project goal. No tasks or strategies are given.
AI Response: The AI drafts a Strategic Objective (e.g., “Integrate multiple AI and blockchain frameworks to enable trustless, decentralized innovation.”), proposes Tactical Objectives (e.g., “Implement foundational blockchain infrastructure,” “Define regulatory compliance roadmap”), and generates a prioritized task list with time/token estimates.
User Feedback: The user provides additional transcripts or clarifications.
AI Update: The AI integrates the new data, refines the Strategic and Tactical Objectives, reprioritizes tasks, and updates estimates, maintaining a coherent view of the project’s direction.

## Benefits

- Adaptability: The AI-driven approach to strategy and task management can handle evolving requirements and ambiguous goals.
- Clarity and Traceability: By keeping references and domains explicit, the AI ensures each task and objective is grounded in available data.
- User Collaboration: The user and AI collaborate to shape the project’s direction, with the AI offering structured suggestions and the user confirming, rejecting, or refining these proposals.
- Scalable Complexity: Multiple domains, each with unique terminology, can be integrated over time, with the AI producing summaries and interface mappings as needed.
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tree ./ > ./commander-briefing/folders.txt
concat --output ./commander-briefing/READMEs.md ./domains/**/README.md
concat --output ./commander-briefing/transcript-summaries.md ./data/transcripts/2024-12/**/*SUMMARY.md
concat --output ./commander-briefing/basic-definitions.md ./domains/innovation/**/*
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