Jordan Ramos
916f86725d
Core agent improvements: - RSO (Relevance Scoring & Observation) system: interaction_logger, memory_scorer, signal_detector - Memory access logging (memory_access_log table) for relevance scoring; high-signal turn detection - Rich conversation storage for notable turns; compact_conversation truncates long user messages - Task-type classifier (query/action/analysis/creative) for observation tagging - Nested sub-agent visibility: deep delegations now register against the main agent's manager Child safety (Gabriel profile): - child_safety.py: filtering, audit logging, prompt constants for restricted sessions - .kiro/specs/child-safety-profile: requirements, design, tasks specs - GABRIEL_BOT_PROPOSAL.md: initial proposal doc - Reduced context window (10 msgs) and tutor-mode identity for restricted users Telegram adapter: - Polling watchdog: auto-restarts updater if polling drops unexpectedly - get_me() with exponential-backoff retry on NetworkError at startup - Correct stop() ordering: signal watchdog before cancelling tasks Email / Gmail: - send_email: supports file attachments (attachments list param) - get_email: surfaces attachment metadata in response Scheduled tasks / weather: - Remove OpenWeatherMap API calls from morning-weather task; use wttr.in exclusively - New scheduled tasks and scheduler state persistence Discord: - adapters/discord/__init__.py scaffold - discord-plugin: MCP plugin for Claude Code Discord integration (server.ts, skills, config) Infrastructure: - n8n workflow exports (garvis_webhook, content_pipeline variants) - memory_workspace: context, homelab-repo-updates, weekly observation summaries, error logs - UCS C240 migration plan doc - requirements.txt: new deps - .claude/settings.json, fix_hooks.py: hook/permission tuning
6.8 KiB
RSO Weekly Reflection — Week 15 (2026-04-06 → 2026-04-12)
Summary
| Metric | Value |
|---|---|
| Total interactions | 72 |
| Total signals | 74 |
| Positive signals | 12 (16%) |
| Negative signals | 9 (12%) |
| Corrections followed | 5 (7%) |
| Errors | 1 |
| Timeouts | 1 |
| Avg response time | 82.1s |
| Max response time | 397.5s |
| Slow interactions (>60s) | 29 (40%) |
Q1: What went well?
Positive signal rate held at 16% — 12 of 74 signals were explicitly positive, meaning roughly 1 in 6 interactions earned direct approval. Given Jordan's communication style (he tends not to praise unless something genuinely landed), this is a reasonable baseline.
Query-type tasks dominated (58%) and completed reliably — 42 of 72 interactions were queries (weather checks, vault reviews, article analysis). These are the bread-and-butter tasks where tool chains are predictable and delivery is fast.
SSH execution was the workhorse — 158 ssh_execute calls across the week, covering Twingate updates, Proxmox management, and infrastructure checks. Zero SSH-related errors logged, meaning the homelab connectivity pipeline is solid.
Tool diversity was high — 12+ distinct tools used regularly, indicating the full MCP toolkit is being exercised rather than falling back to a narrow subset.
Q2: What went wrong?
40% of interactions were slow (>60s) — 29 of 72 interactions exceeded 60 seconds. This is the single biggest issue. The average duration was 82.1s, dragged up by several interactions exceeding 5 minutes.
Top offenders by duration:
- 397s — "Where's the plan?" — likely a complex planning/search task that spiraled
- 380s — Clipboard/TikTok data entry scoping — creative task with ambiguous requirements
- 318s — A bare "yes" confirmation that triggered a 5+ minute execution chain
- 302s — Git pull/check workflow — waiting on sequential operations
1 timeout (30-minute hard limit) on April 8 — Agent SDK killed a task after 39 messages. Last tool was TodoWrite with 5 different tools in play. This was likely a complex multi-step task that kept spawning sub-steps without converging.
9 negative signals + 5 corrections — 19% of signals indicated dissatisfaction or course correction. That's nearly 1 in 5 responses needing adjustment, which is too high.
Q3: What patterns emerged?
Task type distribution:
- Query: 42 (58%) — weather, vault reviews, lookups
- Creative: 15 (21%) — article analysis, planning, content generation
- Analysis: 10 (14%) — technical assessments, comparisons
- Action: 5 (7%) — actual infrastructure changes (Twingate update, etc.)
Complexity split:
- Simple: 34 (47%)
- Complex: 28 (39%)
- Moderate: 10 (14%)
This is a bimodal distribution — tasks are either quick lookups or deep multi-tool operations. Very few land in the middle. The "moderate" category is underrepresented, suggesting Jordan either asks simple questions or launches full projects with little in between.
Tool chain patterns:
Read → Bash → ssh_execute— standard infrastructure management chainsearch_vault → read_file— zettelkasten review pattern (repeated 3+ times this week for the same 3 fleeting notes)WebSearch → web_fetch → Read— article analysis chaingitea_list_files → gitea_read_file— code review/repo exploration
Recurring task: The daily zettelkasten review ran 3 times this week, each time surfacing the same 3 unprocessed fleeting notes. The review itself works; the processing step is stalled on Jordan's decision.
Q4: What is being wasted?
Zettelkasten review overhead — 3 reviews this week, ~60-90s each, for the same 3 notes that haven't been actioned in 25 days. Estimated 3-4 minutes of compute time this week producing identical output. The reviews are generating recommendations Jordan isn't acting on.
Weather report redundancy — Multiple weather checks this week using the same dual-fetch pattern (OpenWeatherMap fails on "Centennial" every time, wttr.in succeeds every time). ~30s wasted per check on the OpenWeatherMap call that will never work.
Slow "yes" confirmations — Two interactions where a simple "yes" triggered 240-318s execution chains. These likely involve complex multi-step operations where the confirmation kicks off a long sequential pipeline. The work itself may be necessary, but the duration suggests opportunities for parallelization.
Read tool overuse — 193 Read calls (highest of any tool). Some of this is necessary context-loading, but the volume suggests repeated reads of the same files across interactions rather than caching/remembering content from earlier in the session.
Q5: Recommendations
1. config — Remove OpenWeatherMap from weather workflow
Data: OpenWeatherMap fails on "Centennial, CO" in 100% of attempts (3+ this week, consistent across all prior weeks). Every weather request wastes ~10-15s on a guaranteed failure. Action: Update weather logic to skip OpenWeatherMap entirely for Centennial and go straight to wttr.in, or use "Denver, CO" as the OpenWeatherMap fallback.
2. prompt — Auto-process stale fleeting notes after 3 reviews
Data: 3 zettelkasten reviews this week produced identical output for 3 notes that have been fleeting for 25+ days. 3-4 minutes of total compute wasted on repeated recommendations. Action: After the 3rd review with no action, auto-propose a batch action ("I'll merge notes 1+2 into a permanent note and archive note 3 — say 'no' to stop me"). Shift from passive recommendation to opt-out execution.
3. tool_usage — Parallelize confirmation-triggered workflows
Data: 2 interactions where a "yes" confirmation led to 240-318s sequential execution. 40% of all interactions exceeded 60s.
Action: When a "yes" triggers multiple independent operations, use delegate_task or parallel tool calls instead of sequential execution. Target: reduce the 40% slow-interaction rate to <25%.
4. memory — Cache repeated file reads within sessions
Data: 193 Read calls — highest tool count, exceeding even Bash (186). Many are likely re-reads of the same files (MEMORY.md, SOUL.md, user profiles) across multi-turn conversations. Action: When a file has been read earlier in the same session and hasn't been modified, reference the cached content instead of re-reading. Won't help across sessions but reduces intra-session overhead.
5. prompt — Reduce negative signal rate from 19% to <10%
Data: 9 negative + 5 correction signals out of 74 total (19%). Nearly 1 in 5 responses needed adjustment. Action: Review the 9 negative-signal interactions to identify common triggers. Likely causes: over-explaining when action was wanted, or misreading task scope. Specific patterns to investigate next week.
Generated: 2026-04-12 | Next review: 2026-04-19