Target Workflow
Daily Agentic AI Research Digest (daily-agentic-research.md)
Selected as the highest-spend non-monitoring workflow with no recent structural change: 482 AIC / 7 runs over the past 7 days, with 100% success rate but significant AIC variance (2.5×) indicating inconsistent execution depth.
All 14-day-eligible workflows have recent optimization entries; this workflow was last audited on 2026-07-15 (5 days ago) and the prior recommendations did not address source-selection efficiency or network allowlist hygiene.
Analysis Period
2026-07-14 → 2026-07-20 · 7 runs analyzed
Spend Profile
| Metric |
Value |
| Total AIC |
482.4 |
| Avg AIC / run |
68.9 |
| Min / Max AIC |
36.98 / 92.07 (2.5× variance) |
| Total tokens (1 run w/ logs) |
257,505 |
| Avg turns (most recent run) |
9 |
| Avg action minutes |
5.4 min |
| Total errors / warnings |
0 / 0 |
| Conclusions |
7 / 7 success |
Ranked Recommendations
1. Enforce sequential source fetching with hard early stop
Estimated savings: ~15–20 AIC/run (22–29%)
The prompt says "Browse 2–3 of these sources (don't fetch all if you find a strong candidate early)" but the firewall log shows every run fetches from both arxiv.org (5 requests/run) and huggingface.co (4 requests/run) — 9 web-fetch calls per run. The early-stop instruction is not being followed.
Action: Replace the current "Browse 2–3" guidance with an explicit sequential gate:
Fetch HuggingFace Papers first ((huggingface.co/redacted)
If the listing page contains one qualifying item from the last 7 days, select it immediately and proceed to output — do NOT fetch the next source.
Only try arxiv if HuggingFace yields nothing qualifying.
Evidence: Firewall log for latest run: arxiv.org:443 → 5 requests, huggingface.co:443 → 4 requests. Both sources are fetched on every run regardless of early find.
2. Cap per-source fetch depth to listing + 1 paper page
Estimated savings: ~10–12 AIC/run (15–17%)
With 9 total web-fetch calls and only 2 sources, the agent is loading multiple sub-pages per source (likely the listing page + 2–3 individual paper pages per source). A maximum of 1 listing page + 1 paper page per source would cut this to 4–5 fetches.
Action: Add to Browsing Instructions:
For each source, read at most: the listing/front page, then at most one individual paper page to confirm the finding. Do not paginate or follow more than one link per source.
Evidence: 5 arxiv + 4 huggingface = 9 fetches; 2 listing pages + 2 paper pages = 4 fetches is sufficient to confirm a single finding.
3. Remove unused sources from Browsing Instructions
Estimated savings: ~3–5 AIC/run (4–7%)
The Browsing Instructions list 4 sources:
- `(huggingface.co/redacted) ✅ used (4 req/run)
- `(arxiv.org/redacted) ✅ used (5 req/run)
- `(openai.com/redacted) ❌ 0 requests across all 7 runs
- `(www.anthropic.com/redacted) ❌ 0 requests across all 7 runs
Action: Remove openai.com/news and anthropic.com/news from the Browsing Instructions source list. The agent never visits them, but listing them wastes prompt tokens every run and may introduce inconsistency if the agent occasionally does try them.
4. Trim network allowlist to actually-used domains
Estimated savings: prompt/config hygiene; no direct AIC impact
The network.allowed block lists 10 domains; only 2 content domains (arxiv.org, huggingface.co) are ever accessed. The following 8 are never hit across 7 runs:
openai.com, anthropic.com, mistral.ai, research.google, deepmind.google, ai.meta.com, blog.langchain.dev, www.pinecone.io
Action: Remove these 8 domains from the network.allowed list. This reduces the attack surface, enforces source discipline, and keeps the workflow config accurate.
Cumulative Estimated Savings
Recommendations 1–3 are independent and can be applied together:
| Applied |
Estimated AIC saved/run |
New avg AIC/run |
| Rec 1 (early stop) |
~17 AIC |
~52 |
| + Rec 2 (depth cap) |
~11 AIC |
~41 |
| + Rec 3 (remove unused URLs) |
~4 AIC |
~37 |
| Combined |
~32 AIC (~46%) |
~37 |
Run-level evidence
Network requests (most recent run, firewall log):
api.githubcopilot.com:443: 15 (LLM inference)arxiv.org:443: 5huggingface.co:443: 4- All 8 other allowed domains: 0
Caveats
- Token data from 1 run only — full token/turn breakdown is available only for the most recent run (257,505 tokens, 9 turns). AIC data covers all 7 runs.
- AIC variance (36.98–92.07) may partly reflect external page size variation (arxiv search result sets vary). Recommendation 2 (depth cap) addresses this most directly.
- openai.com / anthropic.com are listed as fallback sources; if content from those sites becomes relevant in future, re-adding them is a one-line config change.
- Savings estimates assume the agent currently fetches both sources on every run and 9 web-fetches per run. Actual savings depend on run-to-run content availability.
References: §29735272885 · §29407489960 · §29490429869
Generated by Agentic Workflow AIC Usage Optimizer · 334.6 AIC · ⊞ 21.6K · ◷
Target Workflow
Daily Agentic AI Research Digest (
daily-agentic-research.md)Selected as the highest-spend non-monitoring workflow with no recent structural change: 482 AIC / 7 runs over the past 7 days, with 100% success rate but significant AIC variance (2.5×) indicating inconsistent execution depth.
All 14-day-eligible workflows have recent optimization entries; this workflow was last audited on 2026-07-15 (5 days ago) and the prior recommendations did not address source-selection efficiency or network allowlist hygiene.
Analysis Period
2026-07-14 → 2026-07-20 · 7 runs analyzed
Spend Profile
Ranked Recommendations
1. Enforce sequential source fetching with hard early stop
Estimated savings: ~15–20 AIC/run (22–29%)
The prompt says "Browse 2–3 of these sources (don't fetch all if you find a strong candidate early)" but the firewall log shows every run fetches from both
arxiv.org(5 requests/run) andhuggingface.co(4 requests/run) — 9 web-fetch calls per run. The early-stop instruction is not being followed.Action: Replace the current "Browse 2–3" guidance with an explicit sequential gate:
Evidence: Firewall log for latest run:
arxiv.org:443 → 5 requests,huggingface.co:443 → 4 requests. Both sources are fetched on every run regardless of early find.2. Cap per-source fetch depth to listing + 1 paper page
Estimated savings: ~10–12 AIC/run (15–17%)
With 9 total web-fetch calls and only 2 sources, the agent is loading multiple sub-pages per source (likely the listing page + 2–3 individual paper pages per source). A maximum of 1 listing page + 1 paper page per source would cut this to 4–5 fetches.
Action: Add to Browsing Instructions:
Evidence: 5 arxiv + 4 huggingface = 9 fetches; 2 listing pages + 2 paper pages = 4 fetches is sufficient to confirm a single finding.
3. Remove unused sources from Browsing Instructions
Estimated savings: ~3–5 AIC/run (4–7%)
The Browsing Instructions list 4 sources:
Action: Remove openai.com/news and anthropic.com/news from the Browsing Instructions source list. The agent never visits them, but listing them wastes prompt tokens every run and may introduce inconsistency if the agent occasionally does try them.
4. Trim network allowlist to actually-used domains
Estimated savings: prompt/config hygiene; no direct AIC impact
The
network.allowedblock lists 10 domains; only 2 content domains (arxiv.org,huggingface.co) are ever accessed. The following 8 are never hit across 7 runs:openai.com,anthropic.com,mistral.ai,research.google,deepmind.google,ai.meta.com,blog.langchain.dev,www.pinecone.ioAction: Remove these 8 domains from the
network.allowedlist. This reduces the attack surface, enforces source discipline, and keeps the workflow config accurate.Cumulative Estimated Savings
Recommendations 1–3 are independent and can be applied together:
Run-level evidence
Network requests (most recent run, firewall log):
api.githubcopilot.com:443: 15 (LLM inference)arxiv.org:443: 5huggingface.co:443: 4Caveats
References: §29735272885 · §29407489960 · §29490429869