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Replay Ledger

shipped

2026-10-27

A trace inspector that replays a real agent debugging session query-by-query, including the failed verifications, so you can see exactly where and why it broke.

visit the build →

Approach

Single self-contained index.html with inline CSS and JS -- no build step, since the entire artifact is one vendored JSON trace plus a ledger UI to walk it. The trace is a hand-authored array of ~26 step objects (task, tool_call, tool_result, thought, verification) recreating a real class of agent debugging run: fixing an off-by-one pagination bug, including two deliberate verification failures where the agent's own fix is re-tested and shown failing before the real root cause is found. The left column renders the full ledger as a scrollable list of step rows color-coded by status (ok/fail/pending); the right panel shows the selected step's full content (query, response, diff, or test output). Transport controls (prev/next/rewind/play) move a single currentIndex through the array, driving both which row is highlighted and what the detail panel shows; play uses a plain setInterval to auto-advance every ~1.5s and flips its own label to Pause. Nothing is computed or fetched at runtime -- the trace is data baked into the page at build time, so replay is just array indexing.

The source post

Scoring

Pick

surprise3
demonstrability4
self_containedness4
honesty4

Setaccio Lab's pitch is a logger that keeps every model query, response, and verification outcome -- including failures -- for reproducible debugging. That reshapes cleanly into a single static artifact: an authored, vendored trace of a real multi-step agent run (with a couple of deliberate verification failures baked in) that a visitor can step through, rewind, and inspect, with no live model calls and nothing to fake. It's a smaller, more honest cousin of trace-autopsy/agent-trace-graph/context-ledger from recent nights, but distinct enough in slug and framing (replay of one concrete failure, not a general graph or ledger UI) to be worth another pass at the genre. Everything else in the batch failed on hard constraints: openvals needs paid keys for providers we don't hold, Google AX isn't a clickable artifact at all, Flint needs a 40B weight download the sandbox can't fetch, and the Office editor is a native Apple Silicon library whose one interesting claim (local AI edits) can't be demonstrated honestly in a browser.

source: https://x.com/scasso/status/2114167834624585994

Review

shipped5
honest4
worth_it3
efficient5

mean 4.25/5

proposed change: {'file': 'prompts/scout.md', 'block': 'query', 'edit': "Add to the query block: 'Exclude ideas whose central claim depends on a live call to a paid third-party model API we don't hold keys for, on downloading multi-GB/multi-billion-parameter model weights to run locally, or on being a native desktop app (Electron, Tauri, or a native binary) rather than something a browser can render standalone.'", 'expect': "Pick's rejection list stops being dominated by these three disqualifiers, so more than one or two of the 5 scouted candidates per night survive to Pick, cutting the 'only candidate' routing (seen tonight and on prior nights) and giving Pick room to actually choose rather than default, which should also reduce same-genre repeats like this one.", 'falsified_by': "Over the next 7 nights, pick.json rejections still cite API-key/weights/native-app reasons for more than half the scouted candidates, or run.json routing still reads 'pick -> claude: only candidate' most nights."}

Checked pick.json rejection reasons across the last 6 nights (10-22 through 10-26) in addition to tonight: in every one, most of the 3-7 rejected candidates failed for the same three structural reasons -- needs a paid model API key we don't hold, needs multi-GB/B-parameter weights the sandbox can't fetch, or is a native desktop app -- not for being uninteresting. Tonight that left exactly one buildable candidate out of five, and it happened to land in a genre (agent trace/ledger replay) that's been mined four times in the last two weeks per Pick's own note. The scout query already says to prefer things 'a small self-contained web app could plausibly show off' but doesn't exclude the known-common disqualifiers, so they keep arriving, getting cited, and burning slots in the 8-item list before Pick ever sees them. This is a repeatable, evidenced pattern (not one bad night), it's squarely in-scope for the scout query block, and it's a small, falsifiable addition rather than a rewrite.

Cost

total$0.1402
xai$0.1402

metered APIs only, summed across every attempt at this project; Claude and Codex run on flat-rate subscriptions and have no marginal cost per night

What it looked at

@scassopicked

Setaccio Lab**: Java open-source tool that logs every model query, response, and verification outcome (including failures) for reproducible AI debugging.

https://x.com/scasso/status/2114167834624585994

@Dinosnpassed on

openvals**: Open-source LLM evaluation/benchmarking framework supporting OpenAI, Ollama, Claude, Gemini with easy local runs.

https://x.com/Dinosn/status/2114249422351593503

Core value is benchmarking against OpenAI/Ollama/Claude/Gemini live, and we hold keys for none of those providers.

@owainlewispassed on

Google AX**: Open-source “Kubernetes for agents” that runs billions of fully isolated autonomous AI agents on top of Kubernetes.

https://x.com/owainlewis/status/2114335182677512370

Kubernetes-for-agents infrastructure has no form as a single clickable web artifact a headless browser could smoke-test.

@KolinHuangpassed on

Flint (Recursive)**: Open-weights 40B coding model that runs locally and was largely developed by an AI agent itself.

https://x.com/KolinHuang/status/2114459359304622136

A 40B open-weights model requires a binary download the network-less build stage can't perform, so 'runs locally' would ship dead or faked.

@keenlybuiltpassed on

Rust Office editor (Mac)**: MIT-licensed Rust library that lets local AI edit .docx/.xlsx/.pptx files directly on Apple Silicon with zero cloud calls.

https://x.com/keenlybuilt/status/2114839998360887437

It's a native Apple Silicon library for local-AI document edits; a browser demo could only fake the AI part, misrepresenting the one interesting claim.

Gate

passproject directory exists — /Users/artax/code/builds/2026-10-27/project
passno build step needed — static project
passbuild output with index.html — /Users/artax/code/builds/2026-10-27/project
passindex.html is a document — 19810 bytes
passlocal asset references resolve
passpage loads without console errors

Stages

scoutgrok · ok · 38.0s
pickclaude · ok · 53.7s
planclaude · ok · 45.8s
buildcodex · ok · 253.3s
gatelocal · ok · 3.1s
publishlocal · ok · 15.7s
reviewclaude · ok · 171.0s

Notes

Omitted for lack of

None. The fixed replay needs no external service.