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Part of Connect Your Vision to Daily Execution

Productivity Blueprint

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Enable AI Accountability Through Specialized Agents

0June 2026

Four cross-session AI agents that audit alignment, facilitate reviews, maintain vault hygiene, and process inboxes with learned patterns.

What problem does this solve?

Provides four specialized AI agents (goal-aligner, weekly-reviewer, note-organizer, inbox-processor) that work across sessions and learn your patterns. A human alone reviewing their own work is vulnerable to blind spots. These agents flag misalignment, consolidate duplicates, and ask probing questions that expose hidden patterns.

How does it work?

Each agent uses cross-session memory (memory: project) so it learns your patterns over time. Goal-aligner analyzes recent daily notes, identifies gaps in goal activity, and flags over/under-investment. Weekly-reviewer learns your reflection style and surfaces probing questions. Note-organizer fixes broken links and consolidates duplicate notes. Inbox-processor applies GTD principles. Invoke them directly: claude "Use the goal-aligner agent to analyze my last 2 weeks" or integrate them into /weekly with "Use the team approach for a thorough review".

Included Skills

No skills in this group

What's required to run this?

Agents use memory: project for cross-session learning, so insights accumulate over time. They operate on read-only scans of Daily Notes, Goals, and Projects folders. No external API required beyond Claude Code CLI.

Key Features

goal-aligner

Audits daily activity against stated goals, flags misalignment, and calculates alignment score across the full cascade.

weekly-reviewer

Facilitates weekly review with learned reflection style and probing questions tailored to your patterns.

note-organizer

Scans vault for broken links, orphan notes, and consolidates duplicates to maintain hygiene.

inbox-processor

GTD-style processing: clarify ambiguous items, categorize by area, and route to appropriate storage folders.

About This Blueprint

Industry
Technology
1 Skill
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Matthias Jahn

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