Fieldline I · Arcade Origin
404 playground
The first CavBot lived only on error pages — a playful arcade on top of a dead screen. No metrics, no console, just proof that a failure surface could still feel designed.
Reliability copilot & control-plane
One brain for routes, 404s, SEO & runtime feel
CavBot runs as a reliability layer on top of CavBot Analytics v5 and CavCore Console.
It watches routes, 404s, SEO structure, campaigns, and Core Web Vitals in real time,
treating fragile edges as designed surfaces so every session stays deliberate, not accidental.
CavBot brainline
From 404 toy to field-grade control-plane
CavBot started as a small character living on a single 404 screen. Over time it became a structured brainline, folding more signal, journey context, and console views into CavCore — until it was ready to sit in full production.
Fieldline II · Signal Capture
Pattern curious
Signal came next. CavBot began counting 404 density, route classes, and timestamps to understand which edges real users actually touched.
Fieldline III · Journey Model
Structured observer
CavBot stopped thinking in single errors and started thinking in journeys — flow completion, repeat attempts, and quiet drop-offs across entire funnels.
CavCore (Gen 1.0) · Control-Plane Core
Production brain
Today’s CavBot runs on CavBot Analytics v5. Every 404, edge, and fragile route becomes structured telemetry that lands directly in CavCore Console — the same view your team uses to steer production.
Modes CavBot watches in the lab
Path · Fault · Feel — CavBot lab modes
CavBot frames each session through three lenses — how people move through the
product, where systems break, and how the experience actually feels in the
browser while it’s happening.
Path telemetry
Fault lab
Feel scoring
CavBot still in the lab
Path
Journey map
Canonical product map
Every URL, deep link, and edge route is treated as part of a canonical map. CavBot maintains this map so your team always knows where traffic is meant to land, not just where it accidentally lands.
Fault
404 & edge control
Classified breakpoints
Faults are categorised as navigational, network, or behavioural breaks. Instead of one generic error page, CavBot enables the right recovery pattern for each class of failure.
Feel
Experience telemetry
Runtime feel scoring
Reliability is experienced, not just graphed. CavBot measures recovery time, reload storms, hesitation, and quiet churn — surfacing where the product feels brittle so journeys can be tightened at the edges.
Where CavBot sits in your stack
From mascot to reliability layer
CavBot runs as a dedicated layer alongside your existing observability. It doesn’t replace logs or APM; it turns them into runtime behaviour: shielding high-value flows, steering users away from broken edges, and making error moments feel like part of the product, not an escape hatch.
Autonomous 404 & route control
Session feel scoring
CavCore console views
Event-first analytics & SEO
CavBot Analytics v5
Event-first, component-aware analytics
CavBot Analytics v5 is a multi-tenant backend that treats every interaction as an append-only event. Projects, visitors, sessions, pages, and components are normalised into PostgreSQL so CavCore Console can reason about the health of your site without guesswork.
The front-end contract is intentionally small. One call — the same across projects — sends structured events for pageviews, 404-game moves, badge interactions, assistant usage, and SEO hints.
window.cavbotAnalytics.track("pageview", {
route: window.location.pathname,
pageType: "marketing",
referrer: document.referrer || null,
meta: {
campaign: "launch",
source: "landing"
}
});What lands per event
- Project, anonymous visitor, and logical session identifiers.
- Route and pageType (marketing, blog, docs, 404-control-room, etc.).
- Referrer URL, referrer domain, and UTM tags for campaigns.
- Device type and optional Core Web Vitals samples (LCP, TTFB, CLS).
Core tables in CavBot Analytics
- projects — CavBot-enabled sites/apps.
- visitors & sessions — anonymous IDs scoped per project.
- pages & events — append-only event log per route.
- performance_samples — Core Web Vitals by page.
- daily_page_aggregates & referrer_aggregates — fast dashboards.
- insights, alerts, and deploy_markers — guardian-angel layer.
- project_settings — per-site controls for tracking and privacy.
Privacy stance
- Anonymous, project-scoped IDs — no names, emails, or long-term IPs stored.
- Only coarse metadata (device, referrer domain, campaign tags).
- IP-derived data is aggregated or discarded quickly — no creepy tracking.
Event mix in a typical CavBot project
68%
Pageview events by default. The rest is 404 control-room moves, badge interactions, assistant usage, and SEO hints — all on the same rail.
SEO & structure
A structural view of every route
CavBot doesn’t just watch traffic — it watches the structure traffic lands on. SEO snapshots are stored per route so your team can connect metadata, indexability, and performance to real behaviour.
Per-route seo_snapshots
Each crawl writes into seo_snapshots: title, meta description, canonical URL, indexability flags, heading outline, word count, and social tags. CavCore shows the latest and how it has changed.
Issues over time
Derived issue codes — for example missing_meta_description, short_title, duplicate_title, and non_indexable_critical — are tracked over time, not just as a one-off audit.
Behaviour + SEO
CavBot links SEO issues with behaviour. 404 spikes tied to missing redirects, campaigns landing on thin or broken pages, and slow but important routes are surfaced as insights, not buried in separate tools.
Live SEO health snapshot
Routes with clean seo
82%
Canonical tags, indexability, and social metadata in a healthy state across most of your canonical map.
Critical non-indexable
9
High-value routes that cannot be indexed — surfaced as first-class issues with deploy and campaign context.
Thin or missing meta
27
Pages where titles or descriptions underperform. CavBot links them directly to the behaviour they generate.
Access
Start with a focused pilot
CavBot is rolling out through tightly scoped pilots for teams that care about the quiet layers of their web experience: routes, edges, SEO, and how the runtime feels during real incidents.
Begin with one or two critical flows, measure the signal in CavCore Console, and then expand into the rest of your product once CavBot proves its value inside your own environment.
Impact
Why CavBot matters
CavBot and CavCore are built for outcomes your team already tracks — fewer dead ends, calmer incident windows, healthier journeys, and less operational noise around simple broken links.
Fewer dead ends
404s stop being a final state. CavBot turns them into guided recovery moments — suggesting the next best route instead of dropping users into a static apology screen.
Calmer incidents
During outages, CavBot smooths the visible edges: exposing retries, alternates, and expectations so “bad days” feel more controlled in the browser.
Tighter journeys
CavBot tracks how journeys feel in production — where people hesitate, rage-refresh, or quietly exit — and feeds those patterns into CavCore Console for product and SRE teams.
CavBot 404 Arcade
Playable recovery surfaces
The 404 Arcade is a small lab where your team can try interactive error-state patterns before they ship. Each micro-game shows a different way CavBot can turn a dead-end route into a guided return to intent — with every move logged as an event in CavBot Analytics v5.
Grid Escape
CavBot moves inside a dynamic grid. Users chase the bot with their cursor to “lock in” the correct route and restore the session path from inside the control-room.
Pick the Imposter
Multiple CavBots orbit on the screen — only one wears the lime field helmet. Tapping the imposter repairs the route and sends the user back to a verified destination.
Signal Chase
CavBot sweeps through a dark 404 field, chasing unstable beacons. Each stabilised signal reveals part of the correct journey and gradually unlocks the path back into your product.
404s as product surfaces
404s that behave like product, not accidents
A traditional 404 says “page not found” and ends the journey. CavBot treats the same surface as a continuation — keeping users oriented, protecting trust, and turning failure states into deliberate experiences.
What changes when 404s are instrumented
- Visitors remain inside your product instead of bouncing out to a cold error screen.
- Support sees where sessions actually break, not just that “something went wrong”.
- Product can test alternate routes, offers, and guidance at the exact moment of failure.
- Every 404 event is tied to campaigns, referrers, and deploys for real root-cause analysis.
Why teams start CavBot on 404s
404s are where reliability is most visible. CavBot turns them into a live, guided surface and streams structured signal back into CavCore Console via the same /v1/events ingestion pipeline as the rest of your app. For many teams, that’s the first, cleanest place to begin a control-plane pilot.
CavCore presence badge
A small badge with the full brain behind it
The CavCore badge is a compact CavBot that lives in the corner of your product — a quiet indicator that the session is under guard. It uses the same head and eye system as the main bot, scaled down into a subtle, always-on presence.
When the badge appears, CavBot is actively watching the route, 404 state, SEO snapshot, and runtime feel for that view. The avatar shifts posture — calm, observing, or recovering — without distracting from your interface.
The badge mounts through cavcore/badge.css and a small script hook, so you can drop it into any layout without rethinking your design. Analytics and insights are still collected even if you choose not to show the badge; it is a visual presence indicator, not a requirement for CavBot Analytics v5.
-
Calm — session is healthy; CavBot is observing quietly in the corner.
-
Guarded — the route is fragile or critical, so CavBot tracks feel more closely.
-
Recovering — the user has hit a 404 or edge; CavBot guides them back into the product.
Runtime impact
How CavBot shifts the numbers
Once 404s, routes, SEO, and fragile edges are under CavBot, the runtime starts to behave differently — fewer exits, more recovered journeys, and less noise created by simple broken paths.
404 exits reduced
Fewer visitors abandon your product when they encounter a broken route.
Recovered journeys
More sessions are rescued from dead links and steered back into revenue or activation flows.
Support tickets
Users who hit a dead route are quietly guided back into the product, instead of opening “link not working” tickets.
Analytics snapshot
- Top failing routes ranked by 404 density and exit rate.
- Sessions tagged with poor runtime feel and reload storms.
- Campaigns landing on fragile or thin SEO pages.
SEO overview
Routes with clean seo
78%
Critical non-indexable
12
Missing meta description
31
Duplicate titles
7
Values here are illustrative. In production, this panel mirrors live data from CavBot Analytics v5 and your latest seo_snapshots.
CavBot turns “I hit a dead link” into “I was guided back into the product” — a small shift that compounds across thousands of sessions.
CavCore Console
The inside of CavBot’s brain
CavCore Console is the analytics and control-plane UI that sits on top of CavBot Analytics v5. It shares the same palette, typography, and card geometry as this page — but every panel is wired directly to projects, pages, events, and insights.
Console views are built from a small, disciplined set of tables — projects, pages, events, seo_snapshots, performance_samples, daily_page_aggregates, referrer_aggregates, insights, alerts, and deploy_markers.
This structure makes it easy to correlate a spike in 404s with a specific deploy, a slow but critical page with missing meta tags, or a noisy campaign with fragile landing routes — all from one control-room view.
The same schema also lays the foundation for future endpoints like /v1/assist and /v1/insights/summarize, so an AI layer can eventually talk about your site’s health using real, structured data.
Key console views
- Project overview — traffic, 404s, performance, and journey feel at a glance.
- 404 summary — which routes fail, how often, and how many journeys are recovered.
- Page & SEO detail — snapshots, issues, Core Web Vitals, and behaviour on each route.
- Referrers & campaigns — UTM and domain aggregates tied to real outcomes.
- Insights & alerts — typed guardian-angel insights with severity and context.
CavBot Analytics v5
CavCore Console
Future assist layer
Powered by CavCore
Early pilots in the glass case
A small set of teams are already running CavBot in production — treating their deployments like artifacts in a control-room museum while we continue hardening the system behind them.
ACME CLOUD
ALPHA STACK
VECTOR RAIL
ORBIT DATA
NEBULA LABS
Actively engineered
CavBot is still in the lab
CavBot is not a static mascot. It is a living control-plane brainline that CavCore evolves through small, disciplined releases — the same way serious infrastructure teams ship runtimes and edge networks.
Current brain · Fieldline IV
- Production-tested across 404s, fragile routes, and high-value funnels.
- Path, fault, and feel signals streamed into session-level scoring.
- CavCore Console views for recovery, exits, SEO health, and journey feel.
What CavCore is building next
Upcoming generations focus on deeper journey timelines, richer cross-session patterns, and tighter links to the observability tools teams already use. CavBot’s roadmap is conservative on purpose: new capabilities ship only when they materially improve reliability, not just to headline a launch.
As CavCore evolves, the same robot on this page will quietly gain new instincts — without breaking the sessions it already protects today.