Living Content Flow — Demo

LiquiChart TeamMay 18, 2026Updated Jun 25, 2026Living Content5 min read

This post is a working demonstration of the three Living Content update mechanisms. Each block below updates through a different path. Refresh the page after running the demo scripts to see them change in place.

1. Reactive template (auto-applies)

The block below contains placeholders like {{winner}} and {{winnerPct}}%. When the poll's leader changes, the insight bridge auto-applies a new template and re-resolves placeholders. No approval queue.

Living Content

AI Gateway leads at 68.4%, 42.1 points ahead of Fluid Compute (Functions) in this 19-vote snapshot of most-used Vercel features.

2. Proactive variant switch (auto-applies)

The block below has three pre-written variants tied to poll conditions. When the leader changes, the proactive evaluator switches the active variant. Authors approved the variants at creation time; no per-update approval.

Living Content

AI Gateway has overtaken the rest. That signals the audience here is building AI features as their primary workload, not bolting them onto an existing app — provider failover and unified billing pay off when AI is the product, not a feature.

3. Monitored-source recommendation (requires approval)

The block below cites a fact about Vercel's default function timeout. When the monitored source's stored value changes, a stale-claim recommendation is created as pending. A human approves the new prose; only then does the block update.

Living Content

Vercel functions on Hobby and Pro plans now run for up to 300 seconds by default — Fluid Compute raised the ceiling.

Run npx tsx scripts/demo-poll-vote.ts to drive blocks 1 and 2. Run npx tsx scripts/demo-monitored-source-change.ts to drive block 3.

Keep the Data in Your Content Accurate Automatically

Charts that update. Claims that self-correct. Content that gets more accurate with age, not less.