Righting Sentences AI - Future Development Plans - Revision history

Saxtonmd77 at 15:55, 3 January 2026

2026-01-03T15:55:42Z

← Older revision		Revision as of 15:55, 3 January 2026
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	* Session management for Firestone (session_id)		* Session management for Firestone (session_id)

			[[Category: Righting Sentences]]

Saxtonmd77: /* Future Development Plans */

2026-01-02T15:45:00Z

Future Development Plans

← Older revision		Revision as of 15:45, 2 January 2026
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	= Future Development Plans =		= Future Development Plans =

	This page tracks proposed ~~features, architectural changes, and~~ improvements for the "Righting Sentences" application. Items are listed ~~in no particular order of~~ priority.		This page tracks proposed improvements for the "Righting Sentences" application. Items are not listed by priority.

	~~* ~~Migrate ~~Framework~~ to FastAPI~~:** Refactor the current Flask backend to FastAPI to improve performance and leverage modern async capabilities, preparing for a "headless" architecture.~~		* Migrate framework to FastAPI
	* Implement "Deep Chat~~" Frontend: Replace the current HTML/CSS~~ frontend ~~with the open-source "Deep Chat" React component to support rich chat features, file uploads, and markdown rendering.~~		* Import Deep Chat frontend
	~~* ~~Create ~~"Editorial Logic"~~ Python ~~Module:** Consolidate all style rules into a single `editorial_logic~~.py~~` file, replacing `banned_words.txt` and Vale.~~		* Create an editorial logic file in Python to replace banned.py
	~~* ~~Add ~~"Triad" Detection Logic:** Update editorial~~ logic to ~~detect and flag sentences using the "X, Y, and Z" (three adjectives/verbs) structure~~.		* Add triad logic to editorial_logic.py
	~~* ~~Add ~~"Negative~~-~~Positive" Structure Detection:** Update editorial logic~~ to ~~flag "It's not X, it's Y" sentence structures~~.		* Add detection for negative-positive sentence construction to editorial_logic.py
	~~* ~~Expand ~~Banned Words List:** Add new editorial constraints (e.g., "delve", "tapestry", "landscape") to~~ the ~~Python logic.~~		* Expand the banned words list
	~~* *Establish Google Cloud Storage Data Pipeline:~~* Create ~~a mechanism to log "Bad Prompt" + "Good Correction" pairs as JSONL files in a~~ Google Cloud ~~Storage~~ bucket ~~(`saxton-training-data`).~~		* Create Google Cloud bucket
	~~* *Implement "The Tap" (Silent Logging):~~* Add middleware to `main.py` that ~~silently runs editorial logic on every model response and~~ logs violations to the bucket ~~without user intervention.~~		* Add middleware to `main.py` that logs prompt violations to the bucket
	* Switch to Google ~~Native Authentication~~ (IAM): Remove API keys for Gemini; transition to using Google Cloud Service Account permissions (Vertex AI User ~~role).~~		* Google native authentication (IAM)
	* Implement Cloud Run Native SSO~~: Configure Cloud Run to "Require Authentication" and manage access via IAM "Cloud Run Invoker" roles (initially manual list, later IAP).~~		* User SSO
	* Transition to Vertex AI Models: Set Gemini 1.5 Flash (or Pro) as the default model, accessed via the `vertexai` library instead of `google-generativeai`.		* Add Firestore for chat memory state instead of stateless text windows
	~~* ~~Add Firestore for ~~Chat Memory:** Implement a Google Cloud Firestore database to store conversation history, allowing the model to remember context (stateful~~ chat).		* Enable document parsing
	~~* ~~Enable ~~Document Parsing:** Add `python-docx` to the backend to parse uploaded Word documents and inject their content into the model's context window.~~		* Session management for Firestone (session_id)
	* Implement Session ~~Management: Update the backend to handle `~~session_id~~` to persist conversations across browser refreshes using Firestore.~~
	* Adopt "Strangler Fig" Deployment Pattern: Deploy major updates (e.g., v3.0) ~~to fresh Cloud Run instances while keeping legacy versions active but deprecated to ensure seamless migration.~~
	* Security Hardening: Remove all direct, public links to the active application from public-facing documentation/wikis to prevent bot traffic.
	* Long-Form Content Agent: Develop a "Chain of Prompting" workflow (Outline -> Section-by-Section generation) to overcome model laziness in 2,000+ word requests.
	* Fine-Tuning Strategy: Plan to use data collected from GPT-4o (Teacher) via "The Tap" to fine-tune a Gemini Flash model (Student) on Vertex AI.
	* Hybrid Development Workflow: Maintain the ability to run the application locally (MacBook) using `gcloud auth application-default login` for cost-free development and data collection.

Saxtonmd77: Created page with "= Future Development Plans = This page tracks proposed features, architectural changes, and improvements for the "Righting Sentences" application. Items are listed in no particular order of priority. * Migrate Framework to FastAPI: Refactor the current Flask backend to FastAPI to improve performance and leverage modern async capabilities, preparing for a "headless" architecture. * Implement "Deep Chat" Frontend: Replace the current HTML/CSS frontend with the op..."

2026-01-02T15:28:38Z

Created page with "= Future Development Plans = This page tracks proposed features, architectural changes, and improvements for the "Righting Sentences" application. Items are listed in no particular order of priority. * **Migrate Framework to FastAPI:** Refactor the current Flask backend to FastAPI to improve performance and leverage modern async capabilities, preparing for a "headless" architecture. * **Implement "Deep Chat" Frontend:** Replace the current HTML/CSS frontend with the op..."

New page

= Future Development Plans =

This page tracks proposed features, architectural changes, and improvements for the "Righting Sentences" application. Items are listed in no particular order of priority.

* **Migrate Framework to FastAPI:** Refactor the current Flask backend to FastAPI to improve performance and leverage modern async capabilities, preparing for a "headless" architecture.
* **Implement "Deep Chat" Frontend:** Replace the current HTML/CSS frontend with the open-source "Deep Chat" React component to support rich chat features, file uploads, and markdown rendering.
* **Create "Editorial Logic" Python Module:** Consolidate all style rules into a single `editorial_logic.py` file, replacing `banned_words.txt` and Vale.
* **Add "Triad" Detection Logic:** Update editorial logic to detect and flag sentences using the "X, Y, and Z" (three adjectives/verbs) structure.
* **Add "Negative-Positive" Structure Detection:** Update editorial logic to flag "It's not X, it's Y" sentence structures.
* **Expand Banned Words List:** Add new editorial constraints (e.g., "delve", "tapestry", "landscape") to the Python logic.
* **Establish Google Cloud Storage Data Pipeline:** Create a mechanism to log "Bad Prompt" + "Good Correction" pairs as JSONL files in a Google Cloud Storage bucket (`saxton-training-data`).
* **Implement "The Tap" (Silent Logging):** Add middleware to `main.py` that silently runs editorial logic on every model response and logs violations to the bucket without user intervention.
* **Switch to Google Native Authentication (IAM):** Remove API keys for Gemini; transition to using Google Cloud Service Account permissions (Vertex AI User role).
* **Implement Cloud Run Native SSO:** Configure Cloud Run to "Require Authentication" and manage access via IAM "Cloud Run Invoker" roles (initially manual list, later IAP).
* **Transition to Vertex AI Models:** Set Gemini 1.5 Flash (or Pro) as the default model, accessed via the `vertexai` library instead of `google-generativeai`.
* **Add Firestore for Chat Memory:** Implement a Google Cloud Firestore database to store conversation history, allowing the model to remember context (stateful chat).
* **Enable Document Parsing:** Add `python-docx` to the backend to parse uploaded Word documents and inject their content into the model's context window.
* **Implement Session Management:** Update the backend to handle `session_id` to persist conversations across browser refreshes using Firestore.
* **Adopt "Strangler Fig" Deployment Pattern:** Deploy major updates (e.g., v3.0) to fresh Cloud Run instances while keeping legacy versions active but deprecated to ensure seamless migration.
* **Security Hardening:** Remove all direct, public links to the active application from public-facing documentation/wikis to prevent bot traffic.
* **Long-Form Content Agent:** Develop a "Chain of Prompting" workflow (Outline -> Section-by-Section generation) to overcome model laziness in 2,000+ word requests.
* **Fine-Tuning Strategy:** Plan to use data collected from GPT-4o (Teacher) via "The Tap" to fine-tune a Gemini Flash model (Student) on Vertex AI.
* **Hybrid Development Workflow:** Maintain the ability to run the application locally (MacBook) using `gcloud auth application-default login` for cost-free development and data collection.