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// proof

We ran it on ourselves first.

Every number on this page is pulled from the live kanban on bailian — the same infrastructure that runs this site. No estimates.

// case study #0 — tacavar

The Tacavar pipeline

Situation → Automations deployed → Outcome

Situation

We had the same recurring-work problem we sell against: blog cadence, SEO monitoring, research aggregation, lead follow-up. None of it was getting done reliably by humans.

Automations deployed

A multi-profile agent fleet on cron: signal-collector → signal-enricher → writer → editor → verifier → distributor, plus SEO strategist and analyst profiles. Specialist profiles pick up cards on the board; cron dispatches the cadences.

Outcome

1,300+
jobs completed
700+
this week
15+
agent profiles
140+
auto-recovered

Reliability improved as the fleet was dialed in: crash rate fell from 86% in May to 17% in June to ~4% today. Average runtime per completed job is ~6 min. The verifier profile alone has 340+ completed runs — verification is structural, not a tagline.

pipeline.bailian
live · daily cadence
croncadenceboarddispatchcollectorsignalswriterdraftseorankverifiergatepublishshipescalate→ telegram
entry / verifiedagenthuman escalationflow particles indicate active work moving through the pipeline

// case study #0 — in practice

The pipeline, unedited.

A real content job moving through the board, and the daily digest the system produces. Nothing staged.

Kanban task detail view: a content job ('Create Therapeutic Vaccine Platform Analysis') showing the tenant (research-brain), agent worker log, and verification steps as it moves through the pipeline.
↑ A content job end-to-end: tenant, worker log, verification.
The Tacavar Daily Intelligence Digest on Telegram: an auto-generated digest with citation counts, signal totals, and top-scored opportunities — produced and delivered by the agent pipeline.
↑ Auto-generated daily digest — research, scored and delivered.

// case study #1 — marketing

SEO & content pipeline

Situation

An SEO/content operation where blog cadence and rank tracking were the first things to slip when ops got busy.

Automations deployed

Weekly editorial calendar generation, per-site SEO refinement passes, rank tracking on a weekly cron, and drafts written → verified → published on schedule.

Outcome

83 posts in the live corpus, published and verified by the pipeline. We don’t publish invented organic-growth percentages here — we ship what’s verifiable.

// case study #2 — healthcare ops

Healthcare distribution operations

Situation

A biologics and specialty-products distribution operation drowning in document triage, intake, and recurring reporting.

Automations deployed

Document triage and routing, intake follow-up, and recurring operational reports — each a recurring card on the board.

Outcome

The recurring work runs on cadence instead of waiting for a human to remember it. (We describe the automations deployed rather than invent revenue figures.)

Run the same loop on your ops.