First live telemetry run for the AI Execution Lab. The telemetry infrastructure has been built for several sessions — this is the first time real data was captured and stored.
node scripts/ingest-uptime.mjs
Result: 5/5 properties up. All HTTP 200.
| Property | Latency |
|---|---|
| A Square Solutions | 343ms |
| AI Execution Lab | 256ms |
| TrustSeal | 428ms |
| ScamCheck | 479ms |
| project subdomain | 1047ms |
Data written to data/telemetry/uptime.json. First verified uptime baseline at 2026-05-19T04:58:07Z.
The project.asquaresolution.com latency stands out at 1047ms — 4× slower than the Lab. This subdomain has no active product and receives no optimization. Not critical, but it's the first latency anomaly in the baseline.
node scripts/ingest-sitemap.mjs --full
Result: 313/313 URLs passing. 0 failures. Sitemap HTTP 200.
Verified every URL in the lab's sitemap individually with HEAD requests. Full mode takes ~60 seconds. Result: zero 404s, zero redirect chains, zero unreachable content.
313 published URLs at baseline. Every future sitemap run will show whether this grew or if any pages became unreachable.
Data written to data/telemetry/sitemap-health.json.
node scripts/ingest-lighthouse.mjs
# [SKIP] PSI API 429: Quota exceeded
The PageSpeed Insights API has a daily quota for unauthenticated requests. The quota was already exhausted when the script ran (likely from earlier testing during the build session).
Fix: Set PAGESPEED_API_KEY=<your_key> in .env.local. Free Google API keys have a quota of 25,000 requests/day — more than sufficient. Get key from Google Cloud Console → APIs & Services → Credentials.
Without the API key, the script is limited to ~1-2 requests/day on the anonymous quota. This is a one-time setup task.
GSC data requires manually exporting from Google Search Console and running the ingestion script against the CSV file. This can't be automated without OAuth (which is out of scope for this platform's architecture).
Next step:
node scripts/ingest-gsc.mjs path/to/queries.csv --type queriesnode scripts/ingest-gsc.mjs path/to/pages.csv --type pagesUntil done, the GSC panel in the telemetry dashboard shows "unknown" tier.
The Vercel ingestion script needs VERCEL_TOKEN and VERCEL_PROJECT_ID in .env.local. These aren't set yet.
Next step: Vercel Dashboard → Settings → Tokens → Create Token → add to .env.local → run node scripts/ingest-vercel.mjs.
scripts/ingest-uptime.mjs had a TypeScript type annotation (const status: 'up' | 'degraded' =) in a plain .mjs file. Node.js v25 can't parse TypeScript syntax in .mjs files. Removed the type annotation — the duplicate status computation was the dead line.
// Before (broken)
const latencyMs = Date.now() - start
const status: 'up' | 'degraded' = // ← TypeScript syntax in .mjs
res.ok ? 'up' : res.status >= 500 ? 'degraded' : 'up'
// After (fixed)
const latencyMs = Date.now() - start
// status computed inline in return object below
The duplicate variable was unused — status was being computed twice (once with the type annotation, once in the return object). The return object's inline computation was the correct one.
The /ops/telemetry page now reads from real snapshots:
Overall system health tier: warning (partial data — 2/5 subsystems have real data)
Target: all 5 subsystems active within this week.
| Metric | Baseline value | Captured |
|---|---|---|
| Ecosystem uptime | 5/5 (100%) | 2026-05-19 |
| Project subdomain latency | 1047ms | 2026-05-19 |
| Lab uptime | 256ms | 2026-05-19 |
| Sitemap URL count | 313 | 2026-05-19 |
| Sitemap pass rate | 100% | 2026-05-19 |
| Published content items | 88 | 2026-05-19 |
| Evidenced items | 3/88 (3.4%) | 2026-05-19 |
| Failure memory coverage | 12/12 (100%) | 2026-05-19 |
| Lighthouse scores | pending | — |
| GSC impressions | pending | — |
| Vercel build success rate | pending | — |
These baselines have no value standing alone. Their value compounds as subsequent captures show movement. The point is not the number — it is the delta.
PAGESPEED_API_KEY → .env.local → node scripts/ingest-lighthouse.mjsnode scripts/ingest-gsc.mjs <csv>VERCEL_TOKEN + VERCEL_PROJECT_ID → .env.local → node scripts/ingest-vercel.mjsdata/telemetry/ snapshot files to repo