A to-do app that doesn't believe you — an enforcement layer rather than a
neutral ledger.
Architecture ported from Autoreceptives/Frontend/Receptive: stacked MVVM with
the mandatory 4-file screen pattern, one ParentViewModel owning the loading /
network / error overlays and the handleError decision tree, one AppDataManager
gateway, dio comms carrying the three identity headers, secure storage with
random-suffixed keys, and a single-chokepoint Navigator. Package root and Dart
package name are both Grounded; org is nya.
The enforcement engine, one unit per formula in utils/:
- DebtEngine w(class) x severity(d) x decay(t), sublinear severity so old
misses cannot swamp the score; abandonment 2x with 30-day
decay immunity; late complete retains 30%
- StandingEngine Good -> Warned -> Grounded -> Lockdown, derived not set;
Grounded replaces home with the overdue queue
- CapacityEngine blocks over-scheduling against p50 of historically completed
minutes, with a learned per-category estimation multiplier
- IntegrityEngine session integrity, weekly volume, plyometric contact ceiling
and enforced recovery gaps
- ExcuseAnalyser on-device excuse clustering plus the confrontation copy
- GuardrailEngine distress detection and rationed amnesty
- ToneEngine all enforcement copy, so the tone cap lives in one place
CommitmentEvent is append-only and is the source of truth rather than the
status field, which is what makes honest history and excuse analysis possible.
Goals contain commitments via parentId, and a task can be run from a
full-screen runner that derives elapsed time from wall-clock so screen-off
cannot lose time. Backgrounding pauses the clock and is counted. The runner is
mirrored into an ongoing notification, with alarm-class full-screen intents
reserved for non-negotiables.
Design language, fonts, icon and native splash are in place; Mason bricks are
retargeted to this project and verified end-to-end.
flutter analyze lib/ reports no errors.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Mfu2gQLSFN21YRBcU2NrTt
🔐 Internal Memory Brick
An advanced Mason brick designed for the Autoreceptive architecture. It automates the boilerplate for persistent local storage using flutter_secure_storage (via autoreceptiveStorage), handling JSON serialization for Objects and Lists, and raw storage for Strings.
🚀 Purpose
This brick eliminates the manual task of:
- Generating high-entropy, randomized secure keys.
- Writing
getandsetinterfaces inConnectInternalMemory. - Implementing JSON encoding/decoding logic in
InternalMemory. - Wrapping calls in
AppDataManagerto maintain the Repository Pattern.
📂 Target Architecture
The brick targets the following specific paths in your project:
- Interface:
lib/Autoreceptive/memory/ConnectInternalMemory.dart - Implementation:
lib/Autoreceptive/memory/InternalMemory.dart - Global Access:
lib/Autoreceptive/informatics/AppDataManager.dart
🛠 Installation
1. Register the Brick
From your project root, run:
mason add internal_memory --path ./bricks/internal_memory
2. Setup Hooks
The brick uses specialized Dart hooks for smart code injection and auto-formatting.
cd bricks/internal_memory/hooks && dart pub get && cd ../../../
mason get
📖 Usage Guide
Run the following command and follow the interactive prompts:
mason make internal_memory
Variable Inputs:
| Variable | Description | Example |
|---|---|---|
function_name |
The camelCase name of the feature. | userProfile or orderLocations |
request_object |
The Dart type to store. | MeDescription, String, or List<Location> |
📋 Logic Breakdown
1. High-Entropy Keys
The brick generates a randomized static const String key at the top of the InternalMemory class to prevent key collisions and reverse-engineering:
static const String USER_PROFILE = "USER_PROFILE_x8H2_9kLp_mQz1";
2. Intelligent Type Handling
The hook detects the request_object type and adjusts the logic:
- Standard Objects: Uses
Type.fromJson(jsonDecode(s))andjsonEncode(data.toJson()). - Lists: Uses
.map((item) => Type.fromJson(item)).toList()for deep serialization. - Strings: Bypasses JSON logic for raw string storage.
3. Smart Injection & Spacing
- Clean Pairs: In the interface, the getter and setter are injected as a tight block with a double-newline buffer from the previous feature.
- Auto-Imports: Automatically adds
import 'dart:convert';and searches thelib/folder to find and add the correct model imports for your Objects. - Formatting: Automatically triggers
dart formaton theAutoreceptivefolder after injection.
⚠️ Requirements
autoreceptiveStorage: TheInternalMemoryclass must have an instance of your secure storage wrapper namedautoreceptiveStorage.- Model Factories: For Objects and Lists, your models must implement:
factory Model.fromJson(Map<String, dynamic> json)Map<String, dynamic> toJson()
🔄 Refreshing Logic
If you update the post_gen.dart hook code, always run this to ensure Mason uses the latest version:
rm -rf .mason && mason get