ajarbot/memory_workspace/observation/summaries/week-2026-17.md

RSO Weekly Reflection — Week 17 (2026-04-14 → 2026-04-20)

Summary Statistics

Metric	Value
Total interactions	80
Total signals	78
Errors / Timeouts	0 / 0
Avg duration	55.9s
Max duration	438.8s
Slow (>60s)	16 (20%)
Positive signals	5 (6.4%)
Negative signals	5 (6.4%)
Corrections followed	3

Task types: query (55), creative (11), action (8), analysis (6) Complexity: simple (53), complex (20), moderate (7)

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Q1: What Went Well?

• Zero errors and zero timeouts — a clean week from an infrastructure stability standpoint. No tool failures, no dropped connections.
• Simple tasks dominated (53 of 80 = 66%) and completed within acceptable latency for the majority.
• 5 explicit positive signals received with neutral follow-ups being the overwhelming majority (66 of 78 = 85%), indicating Jordan generally accepted outputs without needing refinement.
• Tool diversity was high — 12+ distinct tools actively used, demonstrating the MCP ecosystem is functioning end-to-end (SSH, file system, search, web fetch, Bash, delegation).
• Delegation via Task agent used 20 times — appropriate offloading of complex sub-tasks to parallel agents.

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Q2: What Went Wrong?

• 20% of interactions exceeded 60s (16 of 80) — one in five requests ran slow. The worst offender was 438s (7+ minutes) for the RSO weekly reflection itself.
• 5 negative signals and 3 corrections — a 6.4% dissatisfaction rate. Combined with 2 refinement requests, 10 of 78 signals (12.8%) indicated suboptimal first-response quality.
• Complex tasks (25%) drove disproportionate latency: the top 10 slowest interactions averaged ~230s and were all complex/analysis tasks (repo analysis, tax research, configuration parsing).
• No recurring error patterns (0 errors), but the slow-task concentration suggests architectural limits are being hit on multi-file analysis tasks.

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Q3: What Patterns Emerged?

Task Distribution

• Queries dominate (69% of all interactions) — Jordan uses Garvis primarily as a lookup/research tool, not an action executor.
• Creative tasks (14%) are the second most common — writing, drafting, ideation.
• Actions (10%) and analysis (8%) are minority use cases but account for most of the slow interactions.

Tool Usage Chains

• Bash (75) + Read (74) + mcp__file_system__read_file (47) — the "investigate" pattern. Nearly every interaction involves reading something.
• mcp__file_system__list_directory (42) — heavy directory traversal, often preceding file reads. Suggests exploration-before-action is the dominant workflow.
• TodoWrite (23) — used in ~29% of interactions, indicating multi-step tasks are common.
• Task delegation (20) — healthy delegation rate for complex subtasks.
• search_vault (19) — memory/zettelkasten lookups are a core pattern.

Emerging Anti-Patterns

• The RSO reflection itself is the single slowest task (438s). It's recursive overhead.
• Repo analysis tasks (CVE dashboard, Kira configs) consistently exceed 150s — these are the prime delegation candidates.

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Q4: What Is Being Wasted?

Slow Interactions

• 16 interactions >60s consumed ~56 minutes of total processing time. If halved, that's 28 minutes of latency savings per week.
• The 438s RSO reflection and 425s input-validation analysis together consumed 14+ minutes — nearly as much as all other slow tasks combined.

Redundant Patterns

• Bash (75) + mcp__file_system__run_command (22) — two tools serving overlapping purposes. 22 uses of run_command could potentially be consolidated with Bash.
• Read (74) + mcp__file_system__read_file (47) — 121 combined file reads. Some of these may be re-reads of the same files within a session.

Memory Waste

• 73 of 75 memory files scored as stale — 97% of indexed memory is not being actively referenced.
• 2 archive candidates with scores below -10 (ages 56–61 days): daily logs from February containing IP addresses, credentials, and status references that are now outdated.
• The memory workspace has accumulated operational debt — most daily memory entries become noise after ~30 days.

Scheduled Tasks

• The "daily API usage and cost report" appears repeatedly in memory context but no evidence of it producing actionable output this week.

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Q5: Recommendations

1. tool_usage — Consolidate file-read tools

Evidence: 74 Read + 47 mcp__file_system__read_file = 121 file reads across 80 interactions. Standardize on one tool per context to reduce overhead. Action: Default to Claude Code Read for local files; reserve mcp__file_system__read_file for MCP-only contexts (sub-agents, delegated tasks).

2. prompt — Break complex analysis tasks into delegation chains

Evidence: 6 of the top 10 slowest interactions (150–438s) involved multi-file repo analysis. These exceed the 5-minute agent timeout risk threshold. Action: For any task involving >3 files or repo-wide analysis, immediately delegate to a sub-agent with a scoped prompt rather than running inline.

3. memory — Archive stale memory files (>30 days, score < -9)

Evidence: 73 of 75 files (97%) scored stale. Top 10 archive candidates average score -10.2 with ages 33–61 days. None are being referenced in current interactions. Action: Move files with score < -9 and age > 45 days to memory_workspace/archive/. Retain only the last 30 days of daily logs in active memory. This would archive ~10 files immediately.

4. config — Optimize the RSO reflection pipeline itself

Evidence: The weekly reflection is the single slowest task at 438s (7.3 min). It's recursive: the observation system's most expensive operation is observing itself. Action: Pre-compute stats via a lightweight scheduled script (cron/daily) that writes a summary JSON. The weekly reflection then reads pre-computed data instead of parsing raw JSONL each time.

5. prompt — Improve first-response quality to reduce corrections

Evidence: 3 corrections + 2 refinements + 5 negative signals = 10 of 78 signals (12.8%) indicated the first response missed the mark. Action: For complex/moderate tasks, add a brief "understanding check" before executing — restate the interpreted request in one line before proceeding. This front-loads alignment and should reduce correction rate.

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Memory Scorer Output

Metric	Value
Files scored	75
Core memory	0
Active memory	0
Archive candidates	2
Stale candidates	73

Top archive candidates:

• memory/2026-02-18.md — score: -12.1, age: 61d
• memory/2026-02-23.md — score: -11.6, age: 56d
• memory/2026-03-01.md — score: -11.0, age: 50d
• memory/2026-02-22.md — score: -10.7, age: 57d
• memory/2026-02-26.md — score: -10.3, age: 53d

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Generated: 2026-04-20 | Agent: RSO Weekly Reflection | Week 17