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Open-Source AI Agent OS
Campaign case study · Tutti
Anonymized case · Brand preview

Client Case Study

Open-Source AI Agent OS · Multi-Campaign Results

Tutti ran real X (Twitter) creator campaigns for this anonymized client across 2 campaigns. All figures come from platform settlement records and observed post data; creator and brand identities are not shown.

Campaigns 2 Engagement period 2026.06 – 2026.07 Creators 232

Overall delivery

Views and engagements use settled, observed post data — not estimates.

3.16M
Total qualified views

Settled, observed views on compensated content

23K
Total engagements

Likes, replies, reposts, quotes, and bookmarks combined

0.8%
Engagement rate

Engagements ÷ views, excluding anomalous outlier posts

Repeat-engagement trust:This client ran 2 consecutive campaigns with Tutti (2026.06 – 2026.07). Repeat engagement is the clearest endorsement of delivery quality.

External signals and outcomes

Each item identifies its source; third-party data was rechecked against public sources in August 2026.

Publicly verifiable third-party dataGitHub star velocity: ~70/day before → ~121/day in-window → ~56/day after (verifiable via Wayback snapshots)

The campaign coincided with the v1.0.0 release. Star growth reflects the combined effect of the product launch, campaign, and official PR; we do not claim sole attribution. The supportable observation is that velocity nearly doubled in-window and fell afterward.

Campaign breakdown

Each campaign is settled independently; engagement rates use observed post-level data.

RoundStartCampaign theme (anonymized)CreatorsViewsEngagement rate
Round 1 2026.06 Open-Source AI Agent OS 163 1.45M 0.8%
Round 2 2026.06 Open-Source AI Agent OS 153 1.7M 1.0%

Delivery cadence

Observed final views per post, grouped by publish date (not daily increments); campaign totals appear at right.

Round 1 1.45MPeak: Day 11
Round 2 1.7MPeak: Day 4

Creator profile and delivery mix

Observed creator- and post-level composition; creator identities are not shown.

Creator audience tiers

Top-tier ≥100K29% of views
Mid-tier 10K–100K60% of views
Micro 1K–10K11% of views

Tiers use each creator's observed follower count. “Views” is that tier's share of observed views; the creator mix varies by campaign design.

Content category mix

Technology61%
Lifestyle3%
Finance2%
Business2%
Entertainment1%
Other29%

Categories use participating creators' content profiles; profiles cover 246/246 creators. Creators without coverage are excluded from the percentage denominator.

Top-post concentration

41%

Share of observed campaign views from the top 10 posts

Public distribution naturally concentrates in a few top posts, and no single breakout is predictable. A creator network uses scale to make the hit rate more dependable.

Content language mix (by observed views)

English-language content60%
Chinese-language content40%

Sources: Tutti production settlement records and observed post snapshots. Brand and creator identities are anonymized. Views are observed views on compensated content; engagement rates exclude system-flagged anomalies. Costs and pricing are not shown.