CORTEX

Extracted Intelligence

workflow HIGH PRIORITY

AI-assisted research with human verification pattern

Suggested Action:

Implement verification checkpoints in Oracle/QualityPilot workflows: AI generates research/analysis, but flag all citations, references, and critical facts for human review before final output

architecture

Text embeddings stored in video frames for vector database

Suggested Action:

Explore alternative storage methods for Oracle's knowledge base - could embed metadata or search indices in multimedia formats for distributed or steganographic storage

prompting HIGH PRIORITY

Adversarial Code Review Prompt for Quality Assurance

Suggested Action:

Implement a two-phase code generation pattern in QualityPilot: 1) Generate initial code, 2) Run adversarial review prompt asking Claude to criticize its own work and identify edge cases, security issues, and bugs before finalizing

workflow

Computer Use for image processing tasks

Suggested Action:

Implement Computer Use workflows for tasks that require specialized software - let Claude install and operate tools like image editors, data analysis software, or system utilities rather than trying to replicate functionality in code

architecture HIGH PRIORITY

Multi-Agent Pipeline Chaining for Complex Tasks

Suggested Action:

Implement multi-stage processing in Oracle/QualityPilot where Claude acts as: 1) Requirements Analyzer → 2) Code Generator → 3) Quality Checker → 4) Test Generator → 5) Final Validator. Structure prompts to explicitly define each stage's input/output and handoff points.

technique

Legacy Code Seam Detection and Test Injection Pattern

Suggested Action:

Create a QualityPilot workflow that: 1) Analyzes code for natural seam points, 2) Suggests minimal invasive test hooks, 3) Generates unit tests for those seams, 4) Validates the test coverage. Use this for legacy code modernization projects.

integration

VS Code extension for tracking AI-generated code in auto-accept mode

Suggested Action:

Build a VS Code extension or IDE plugin that logs all Oracle/QualityPilot AI-generated code changes, with diff tracking and review interface for auto-accepted modifications

workflow

Text file upload workflow for non-technical users

Suggested Action:

Add drag-and-drop text file upload functionality to Oracle/QualityPilot interfaces as an alternative to Git integration, targeting less technical users

architecture

Dual-agent architecture with specialized roles

Suggested Action:

Implement multi-agent architecture in Oracle with specialized agents: one for code quality analysis, one for project management/task coordination, sharing common API and data layer

workflow

CLAUDE.md project template system for domain-specific development

Suggested Action:

Create CLAUDE.md templates for Oracle/QualityPilot: database schema context, custom commands for common queries, testing workflows, and domain-specific prompting patterns

technique

Tiered thinking token budgets for complex problem solving

Suggested Action:

Implement tiered analysis modes in Oracle: quick lookups use minimal tokens, complex data analysis gets extended reasoning budget with cost tracking

integration

XcodeBuildMCP integration pattern for external tool control

Suggested Action:

Explore MCP (Model Context Protocol) integration for Oracle to directly interact with database tools, query builders, or testing frameworks

architecture

Telegram → AgentAPI → Claude pipeline for conversational task management

Suggested Action:

Implement Telegram bot integration with Oracle/QualityPilot using similar architecture: Telegram webhook → our API → Claude processing → database storage → scheduled notifications. Use for bug reports, feature requests, or system monitoring alerts.

memory_pattern HIGH PRIORITY

Three-File State Management Pattern

Suggested Action:

Implement three-file state management in Oracle: create session-specific task_plan.json, research_notes.json, and output.json files. Update task_plan with checkboxes for each subtask, store intermediate findings in research_notes instead of keeping in context, maintain clean deliverable tracking.

optimization

Context Length Optimization via Thread Splitting

Suggested Action:

Implement automatic conversation splitting in QualityPilot: after 10-15 exchanges, summarize key context and start fresh thread. Store conversation summaries in database and inject relevant summary into new threads instead of full history.

architecture

Telegram → AgentAPI → Claude pipeline for natural language automation

Suggested Action:

Implement Telegram/Discord bot interface for Oracle/QualityPilot that accepts natural language queries, routes through our Claude integration, and executes database operations or generates reports based on intent recognition