Hard-question escalation queue
Send every question to a cheap model first; escalate to Fable only on a logged failure.
Prompt
/loop cadence: on-demand queue. For each incoming question in the queue, a cheap model attempts an answer and self-checks against [CRITERIA]. Append (question, cheap-model verdict, pass/fail) to state-file escalation-log.md. Escalate to Fable ONLY where the cheap model logged a failure; Fable answers just those. Read + own-file writes only. Stop when the queue is empty; log errors and stop. Budget: cheap-first, cap $[X]/run. Hard cap: stop after 1 iteration per run.
claude-code
Implementation note
ADAPTED, not verbatim. No external tool — a routing pattern. Green->low.
Source: EXM7777 ↗graded B · 83/100 — how grades work (Safety Score v2) →
Similar loops
All research loops →B
/goalResearchlow risk
Source-verified brief loop
Write a one-page brief where every claim has three or more sources and every link is opened and confirmed to support the claim — the loop that catches hallucinated citations a single prompt never can.
/goal write a one-page brief on [TOPIC] where every claim has at least three sources and every link opens to a real page that supports the claim. Open each link to confirm it before you call it done. Replace any source that is dead or does not back up the claim. Done when every source check passes on every claim — maximum 30 iterations.
C
/loopResearchlow risk
Overnight intel refresh
A cheap model watches your tracked sources nightly; the expensive model writes only the monthly synthesis.
/loop cadence: nightly (synthesis monthly). Using Exa MCP + a Firecrawl monitor on tracked sources [LIST], have a cheap model log what materially changed to state-file intel-feed.md each night. Route to Fable only for the monthly synthesis: read the month's log and write ONE briefing of what changed and why it matters. Read + own-file writes only. Stop nightly after logging / monthly after the brief; log errors and stop. Budget: cheap-first, cap $[X]/run. Hard cap: stop after 1 iteration per run.
C
/goalResearchlow risk
Kill-criteria loop
Make every live option declare the single fact that would disqualify it upfront, then hunt for that evidence.
/goal for each live option [LIST], state its ONE disqualifying condition upfront, then run an evidence hunt for that disqualifier. Done when: for every option, the state-file kill-criteria.md contains either PASTED evidence the disqualifier is true (kill it) or a documented search showing it isn't (keep it). No option stays undecided. Paste the evidence table as proof, or paste what's still missing and stop. Judge: a second smaller model checks each verdict cites evidence. Budget: cap $[X]. Hard cap: stop after 1 iteration per run.