# 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) --- ## 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. --- ## 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. --- ## 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. --- ## 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. --- ## 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. --- ## 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 --- *Generated: 2026-04-20 | Agent: RSO Weekly Reflection | Week 17*