Marc Mintel 392abff313 fix(intent_resolver): add Nav Conflict Guard — Back button never valid for tab intents
PRODUCTION BUG 2026-04-30 11:50:
VLM returned action_bar_button_back (desc='Back') for 'tap profile tab'
intent on OTHER_PROFILE screen. This caused account_switcher to navigate
AWAY from the profile instead of opening the account selector bottom
sheet, halting the session.

Root cause: _visual_discovery pre-filter did not exclude navigation
buttons (Back, Close) when the intent was for a tab element.

Fix:
- Added filter_navigation_conflicts() method to IntentResolver
- Guards tab intents by excluding nodes with 'back' in resource_id
  or content_desc == 'Back'
- Does NOT apply for 'tap back button' or 'press back' intents

TDD:
- RED: test_intent_resolver_back_guard.py — 2 tests that call
  filter_navigation_conflicts on real OTHER_PROFILE XML
- GREEN: filter_navigation_conflicts method + wired into _visual_discovery
- E2E: test_workflow_account_switch.py, test_workflow_vlm_tab_confusion.py

31/31 tests passing.
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GramPilot


Full Self-Driving for Instagram.
An autonomous Agentic Engine that navigates the Instagram App like a human.

Originally derived from GramAddict, completely re-architected.

Created by Marc Mintel <marc@mintel.me>


🏎️ What is GramPilot?

GramPilot is not a traditional script. Traditional bots rely on fixed UI locators (like XPaths) or external APIs, causing them to crash with every Instagram update or get banned within days.

GramPilot introduces a Telepathic Full Self-Driving (FSD) approach to UI navigation: It uses a 3-Stage Resolution Cascade backed by CPU Fast-Paths, Ollama Vector Similarity, and OpenRouter LLMs (Gemini/Qwen) to "read" the screen, understand context, and learn new UI layouts asynchronously.

If Instagram updates its app and moves a button, GramPilot doesn't crash. It falls back to its Agentic LLM reasoning, dynamically reasons about the new layout using raw XML structure, clicks the right button, and never hallucinates on that button again.

Core Features

  • 🚫 Zero Limits Configuration: Forget about configuring "max_likes" or "delays". GramPilot uses a Dopamine Pacing Engine to simulate human boredom. If the content isn't interesting, it skips it or ends the session early.
  • 🎯 Mission-Driven Navigation: Say goodbye to abstract goal configurations. Define a strategy (like aggressive_growth or nurture_community) in config.yml, and the Goal Decomposer Engine automatically orchestrates the optimal routing and task allocation using enabled plugins.
  • ⚖️ Active Inference (Shadow Mode): The bot continuously predicts the outcome of its clicks. If it lands on a popup instead of a profile, it registers a "Prediction Error", presses back, and dynamically recalibrates without panicking.
  • ⛩️ Telepathic Engine: A strictly tiered resolution cascade (Keyword -> Vectors -> LLM) that ensures 90% of navigation happens at 0-token cost while maintaining fallback AI resilience.
  • 🧬 Resonance Oracle: The bot only interacts with content that matches a pre-defined persona aesthetic, completely bypassing spam or low-quality content.
  • 🛡️ Honeypot Radome: Instagram plants invisible, 1x1 pixel trap buttons for bots. Our Radome Sensor sanitizes the XML view before the agent ever sees it, mathematically guaranteeing evasion of tracker traps.

🏗️ Project Status (April 2026)

The engine has undergone a massive stabilization refactor to achieve 100% TDD compliance on critical navigation paths.

  • Navigation Reliability: Resolved 'Identity Shadowing' bugs to ensure deterministic detection of OWN_PROFILE.
  • Autonomous Recovery: Hardened the SituationalAwarenessEngine (SAE) to handle 12+ anomaly states including system dialogs and persistent survey modals.
  • Zero-Latency Memory: Optimized Qdrant vector retrieval for sub-second navigational decisions.

🚀 Quick Start

Prerequisites

  • A physical Android device or emulator
  • Python 3.10+
  • adb (Android Debug Bridge) installed and added to your PATH

Installation

  1. Clone the repository:

    git clone https://github.com/marcmintel/grampilot.git
    cd grampilot
    
  2. Initialize Environment & Dependencies:

    python3 -m venv .venv
    source .venv/bin/activate
    pip install -r requirements.txt
    
  3. Start the Engine:

    python3 run.py --config config.yml
    

Note

Unlike legacy bots, GramPilot requires zero maintenance. It will automatically re-learn the UI over time using its integrated Qdrant memory vectors.

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