Phase 1 Assessment — 2026-04-26

VERDICT: CONTINUE
Window: 2026-04-19 → 2026-04-25 (7 days of post-Phase-1 runs)
Records: 35 JSONL lines across 7 runs (5 clusters per run)
Plan reference: latest briefing · archive
Task originally scheduled for 2026-04-25; actual fire date 2026-04-26 due to runtime jitter. Data through 2026-04-26 also reviewed (40 total records); rollups below restrict to the canonical 7-day window.

Rollup metrics

MetricValueTarget / threshold
Total clusters logged35~35 (5 × 7 days)
Daily run completeness7/7 days, all with 5 clusters
Clusters with web_fetch_success >= 126 / 35 (74%)High
Clusters with primary_source_found = true24 / 35 (69%)High
Total new_outlets_added32
Distinct new outlet domains24
Domains cited ≥ 3× in a single tag1 (en.wikipedia.org, 4× in mena)Phase 1.5 candidates
Total WebSearch queries60 (~8.6/run avg)Cap 10/run
Runs at search cap4 of 7 (04-20, 04-22, 04-23, 04-24)None exceeded
Total WebFetch attempts41 (30 ✓ + 11 ✗)Cap 10/run
Runs at fetch cap0 of 7 (max 9 on 04-21)None exceeded
WebFetch fail rate11 / 41 = 27%Failure-signal threshold: 25% ⚠ marginal
Rate-limit failures0
Context-window errors0

Per-day breakdown

DateClustersSearchesFetch ✓Fetch ✗Primary srcNew outlets
2026-04-19561211
2026-04-205103246
2026-04-21597247
2026-04-225104133
2026-04-235106156
2026-04-245104224
2026-04-25555155
Total356030112432

04-19 was the first run and shows clearly lower utilisation as Step 4.5 spun up. From 04-20 onward the system stabilised around 5–10 searches and 4–7 fetch successes per run.

WebFetch failure pattern

All 11 fetch failures were HTTP 403 (anti-bot / paywall) from a recurring set of domains: CNBC, NYT, WaPo, Geekwire, the Anthropic newsroom, NYC DOE, Virginia Tech, OHCHR, PNAS, EdSource. In every case the cluster still synthesised acceptably because either (a) a different fetch in the same cluster succeeded, or (b) the WebSearch result snippet itself carried the key facts. The 27% fail rate is a wasted-budget concern, not a quality concern.

Baseline diff

2026-04-13 (Mon) — 5/5 CLOSED

#Baseline gapOutcomeEvidence
1Anthropic dominance — own messaging, benchmarksCLOSED04-21 #4: red.anthropic.com (Mythos red-team blog) + anthropic.com (Glasswing). 04-26 #5: red.anthropic.com again
2AI Coding Wars — vendor docs, dev surveysCLOSED (pattern)04-20 #5: canva.com newsroom + edtechinnovationhub.com cross-outlet
3AI Art Heist — legal case statusCLOSED (pattern)04-22 #5: Federal Register via k12dive (DOJ ADA). 04-26 #4: elections.ps Palestinian commission
4AI Data Centres backlash — energy dataCLOSED04-25 #5: iea.org Energy & AI report — 945 TWh by 2030, US 130% growth
5Iran War / energy dominance — EIA, State DeptCLOSED04-24 #2: iea.org Oil Market Report April 2026 + eia.gov press release; traffic 20→3.8 mb/d, Brent $103–115/bbl

2026-04-16 (Thu) — 4/5 CLOSED, 1 UNCHANGED

#Baseline gapOutcomeEvidence
1VINE Guidelines — comparison with UNESCO/DfE/AUS frameworksUNCHANGED04-22 #1 fetched the Furze post directly but no other AI-edu voices added for comparison
2Deepfake nudes — underlying reportCLOSED (pattern)04-22 #2: PNAS paper. 04-25 #2: PMC peer-reviewed study
3Teen AI companions — academic paperCLOSED04-22 #2: PNAS RCT (Wharton, ~1000 HS students)
4AI cognition study — preprintCLOSED04-20 #2: arxiv.org. 04-22 #2: PNAS. 04-25 #2: PMC. Strong repeated pattern
5Sweden phone ban — Ministry policy docCLOSED04-21 #3: educationinspection.blog.gov.uk (Ofsted gov source). 04-23 #5: edsource.org for LAUSD policy

2026-04-18 (Sat) — 3 CLOSED, 1 PARTIAL, 1 N/A

#Baseline gapOutcomeEvidence
1Gen Z + AI — Gallup survey methodologyPARTIAL04-26 #1 located Stanford HAI primary page but direct fetch returned empty; key stats from search summaries
2ASU+GSV — session recordingsN/AOne-off conference event; no recurrence
3Anthropic Mythos — company blogCLOSEDred.anthropic.com fetched directly twice (04-21 #4, 04-26 #5)
4Iran deal — State Dept transcript, Iranian FMCLOSEDMultiple MENA clusters: AJ deal-terms, Iran International on IRGC ship-naming, Wikipedia Islamabad Talks, JPost on FM contradiction, Breaking Defense / CENTCOM
5UK £500M AI fund — gov press releaseCLOSED (pattern)04-23 #2: pa.gov for Shapiro AI literacy toolkit. 04-21 #3: gov.uk Ofsted blog

Aggregate

Easily clears the ≥ 60% CLOSED advancement threshold.

Checklist

Success criteria

CriterionStatusEvidence
Top-story cards reference ≥ 1 primary source NOT in RSS, on ≥ 3 of 7 days24/35 clusters had primary_source_found. All 7 days had ≥ 1; 5 of 7 had ≥ 3
"Why it matters" callouts more specific than baselineNumerical specifics now common: IEA 20→3.8 mb/d, PNAS 48% / 17%, IEA 945 TWh by 2030
Synthesis hedges decrease vs. baselineNotes cite named primary sources rather than paraphrasing aggregator coverage
Runtime ≤ baseline + 5 min?Not directly logged; no late-publish observed; deploy succeeded daily. Acceptable
No rate-limit or context errors in 7 consecutive runsZero such mentions in 35 cluster notes

Failure signals

SignalTriggered?Evidence
WebSearch returns same outlets already in RSS32 new outlets, 24 distinct domains, substantive new sources
WebFetch fails > 25%⚠ marginal27%; all 403s from known paywalls; did not degrade synthesis
Synthesis becomes less coherentClean narrative additions per cluster
Rate / context limits hitNone observed
Briefing publishes > 15 min lateNo evidence

Verdict and reasoning

CONTINUE. Phase 1 is doing exactly what it was designed to do.

The numbers are unambiguous: nearly three-quarters of top-5 clusters get at least one successful web fetch, two-thirds locate a true primary source, and 32 substantive new outlets entered the synthesis context across the window. The baseline diff confirms this in qualitative terms — 12 of 14 actionable pre-Phase-1 gaps are now CLOSED. The categories where baselines flagged the deepest thinness (academic-paper citations, government press releases, company red-team blogs, energy-agency data) are now consistently reached. Examples like the PNAS Wharton RCT (04-22), the IEA + EIA Hormuz pair (04-24), and the red.anthropic.com Mythos blog (04-21, 04-26) are exactly the kind of source the pre-Phase-1 briefings were missing.

The single quasi-failure signal — WebFetch fail rate at 27%, two points over the 25% threshold — is cosmetic. Every failure is a 403 from a recurring set of paywalled or anti-bot domains. In every case, an alternate fetch in the same cluster succeeded or the search-result snippet alone carried the facts. The fail rate doesn't degrade quality; it wastes a small amount of fetch budget on predictable losers. A skip-list of known-403 domains would push it back under threshold, but it isn't gating.

There are no concerning signals. Synthesis coherence held. No rate limits. No context overflows. Search budget self-regulates around 5–10 queries per run — the cap is well-calibrated.

Phase 1.5 should be unblocked. The ≥3-cite-in-single-tag heuristic surfaced only Wikipedia (4× in mena) in this window, which isn't a useful RSS feed candidate. With a longer window, the candidate set will fill out — recommend lowering MIN_CITATIONS to 2 for the first weekly run and tuning after 4+ weeks of real data.

Phase 1.5 candidate domains surfaced

DomainTagCitesNotes
en.wikipedia.orgmena4 (04-19, 04-20, 04-23, 04-25)Not a useful feed candidate — Wikipedia doesn't expose article-specific RSS in a way that fits the OPML model. Crisis articles (2026_Strait_of_Hormuz_crisis, Islamabad_Talks) became reliable timeline anchors

Watch list (cited 2× in a single tag, near threshold):

Recommended next session prompts

Pick one and paste it verbatim into the next RSS Smart Agent Claude Code session.

Decision Prompt A — CONTINUE (recommended)

Phase 1 assessment returned CONTINUE. Read assessments/phase1-2026-04-25.md for the evidence.

Next actions:
1. Enable Phase 1.5 scheduling. discover_feed_candidates.py is already scaffolded — register a weekly scheduled task (Sundays ~09:00 local) that runs ./discover.sh and Telegrams/emails me the feed_candidates/YYYY-WNN.md summary. Update SYNTHESIS_DEPTH_PLAN.md decision log to mark Phase 1.5 active.

2. Then surface the three improvement ideas we discussed on 2026-04-20 and help me sequence them as Phase 4. They are:
   (a) Don't duplicate stories over a 3-day window (story-level dedup, not URL-level — story_memory.json)
   (b) Defer single-source non-urgent stories by 1-2 days so additional coverage has time to develop — then publish with whatever sources accumulated (it is NOT permanent suppression; every held story publishes eventually, just delayed). Implementation: pending_stories.json with a hold_until timestamp; each run promotes stories whose hold expired or that gained a second source; MENA/safety URGENT tags bypass the hold entirely
   (c) Don't lose high-scoring stories on packed news days (carryover_candidates.json with daily score decay ~0.85)

Before building anything, ask me the open design questions from the 2026-04-20 discussion:
   - "Material update" threshold for (a)
   - Score decay rate for (c)
   - Hold-window length for (b) — how many days to delay single-source stories before publishing anyway (1 / 2 / 3)
   - Whether URGENT safety stories also skip dedup
   - Minimum briefing length when all three queues + today's scoring produce a thin day

Propose sequencing (I previously leaned: ship a+c together as one unit, then b as a separate phase).

Decision Prompt B — TUNE

Phase 1 assessment returned TUNE. Read assessments/phase1-2026-04-25.md for the specific issues.

Next actions:
1. Propose tuning changes to SCHEDULED_TASK_PROMPT.md and the live ~/.claude/scheduled-tasks/rss-smart-task/SKILL.md based on the assessment's recommendations. Once I approve, update BOTH files, append a new version entry to PROMPT_HISTORY.md with a summary of what changed and why, and extend the assessment window another 7 days. Schedule a new one-shot assessment task for 2026-05-02 reusing this same PHASE1_ASSESSMENT_PROMPT.md shape. Do NOT enable Phase 1.5 yet — it stays gated until a CONTINUE verdict.

2. Regardless of Phase 1 tuning, I want to begin work on the three improvements we discussed on 2026-04-20:
   (a) Don't duplicate stories over a 3-day window
   (b) Defer single-source non-urgent stories by 1-2 days so additional coverage has time to develop — then publish anyway (not suppression, just delay; URGENT tags bypass)
   (c) Don't lose high-scoring stories on packed news days (carryover queue)

Ask me the open design questions from that discussion before building anything:
   - "Material update" threshold for (a)
   - Score decay rate for (c)
   - Hold-window length for (b) — how many days to delay single-source stories before publishing anyway (1 / 2 / 3)
   - Whether URGENT safety stories also skip dedup
   - Minimum briefing length when queues produce a thin day

Propose whether to sequence these before or after Phase 1 tuning lands — I lean toward Phase 1 tuning first so we don't change two variables at once.

Decision Prompt C — ROLLBACK

Phase 1 assessment returned ROLLBACK. Read assessments/phase1-2026-04-25.md for the evidence.

Next actions:
1. Revert the scheduled task prompt to the pre-Phase-1 state. The pre-Phase-1 prompt is in PROMPT_HISTORY.md (the version entry BEFORE v1). If PROMPT_HISTORY.md only has v1, reconstruct the pre-Phase-1 state from git commit cf349eb's SCHEDULED_TASK_PROMPT.md. Update both the live ~/.claude/scheduled-tasks/rss-smart-task/SKILL.md and the checked-in SCHEDULED_TASK_PROMPT.md. Append a new version to PROMPT_HISTORY.md labeled "Phase 1 rollback" with the assessment's reasoning. Update SYNTHESIS_DEPTH_PLAN.md decision log.

2. Do NOT enable Phase 1.5 — it depended on Phase 1 working. Keep discover_feed_candidates.py checked in but unscheduled; note it in the decision log as dormant.

3. The three improvements we discussed on 2026-04-20 may now be the right direction given this rollback. They are:
   (a) Don't duplicate stories over a 3-day window
   (b) Defer single-source non-urgent stories by 1-2 days so additional coverage has time to develop — then publish anyway (not suppression, just delay; URGENT tags bypass)
   (c) Don't lose high-scoring stories on packed news days (carryover queue)

Ask me the open design questions from that discussion:
   - "Material update" threshold for (a)
   - Score decay rate for (c)
   - Hold-window length for (b) — how many days to delay single-source stories before publishing anyway (1 / 2 / 3)
   - Whether URGENT safety stories also skip dedup
   - Minimum briefing length when queues produce a thin day

Then propose a sequence. I lean toward (a) + (c) together first, then (b) — but given the Phase 1 rollback, we should discuss whether (b) might actually be a better replacement for Phase 1 than an addition on top of it.