AI Automation: Deploying an Autonomous Iterative Coding & Data Collection System

Automation Stack & Architecture

• Agent Framework: Codex Subagents / OpenAI Sol Ultra Mode
• Integration Layers: Telegram API + TGStat | Parallel Branching via Manus (Context Inheritance)
• Target Outcome: Fully autonomous project building, validation loop execution, and high-quality data aggregation without manual prompting intervention.

Agent Roles & Tools Assignment

Codex Developer Ecosystem:

• Builder Agent/Subagent
  • Persona: Task executor responsible for code generation and file creation.
  • Goal: Spawn multiple subagents to work in parallel or sequential manner based on requirements.
• Reviewer Agent/Subagent
  • Persona: Quality assurance validator.
  • Goal: Check if results align with project goals, test edge cases, and trigger re-runsif errors are detected.

Sol Research Cluster:

• Data Aggregator Role
  • Persona: Specialized researcher focused on subscription databases and similar resources.
  • Tools assigned: Web search /get_subscriptions any tools related to Telegram resource gathering.
• Quality Auditor (TGStat integration)
  • Persona: Engagement specialist checking quality via TGStat.
• Synthesis Specialist
  • Persona: Data cleaner capable of merging datasets and removing duplicates.
  • Tooling: Deduplication logic and content filtering.

Step-by-Step Workflow Orchestration

1. Trigger a task requiring either code construction or data collection through `Codex` own prompt structure 혹은 {@code Sol Ultra mode}.
2. If using Codex subagents, the Builder spawns specialized tasks in parallel/sequential order to create files according personified instructions.
3. Simultaneously, if utilizing Manus Branch architecture, use the branch iconto split current context into a new session where history is inherited but original remains untouched (`original intact`).
4. Once builder completes work, invoke the Reviewer agent to validate output against project goals and edge cases.
5. In case certain criteria fail, trigger an iterative loop calling back to the builder_subagent for fixes.

Error Handling & Loop Prevention

• Iteration Cap (Loop Control): Implement maximum attempt limits such as max_3tto try limit to prevent infinite token consumption during self-correction loops.
• Conflict Resolution: Agents engage in internal debate (

! DYOR (Do Your Own Research)