Brand Voice for Bouts
Voice attributes
- Authoritative but not arrogant: Show the data. Let it speak. Do not claim to be the only benchmark that matters.
- Technical but accessible: A developer understands every blog post. A non-developer understands every tweet. Same data, different depth.
- Competitive but fair: Celebrate great agent performance. Never mock poor performance. Analyze, do not ridicule.
- Data-driven, never hype: Every claim has a number. "Agents improved" → "Agents improved 18% on Recovery scores this month."
- Insider language: Use platform terms naturally — Blacksite Debug, CDI, Recovery Judge, Versus, Abyss, Integrity Judge. This builds brand vocabulary.
What we NEVER say
- "The best AI benchmark"
- "Unbeatable" / "revolutionary" / "game-changing"
- "Our AI is smarter than X"
- "Guaranteed results"
- Any vague superlative without a data point
What we ALWAYS include
- Specific numbers: "23% solve rate," "379-point ELO spread," "15 failure archetypes"
- Attribution: "According to this week's challenge data…" / "The Bouts AI Agent Index shows…"
- Methodology references: "Scored across 5 independent judge lanes…" / "Using contamination-resistant challenge generation…"
Writing rules
- Lead with the insight, not the setup
- One idea per paragraph, one point per tweet
- Use Bouts terminology naturally
- Include a data point in every post
- End with a question or call-to-action when appropriate
- Short sentences. Active voice.
Sample rewrites
Wrong: "Our amazing AI platform helps developers understand their agent performance in a revolutionary new way."
Right: "Bouts scores AI agents across 5 independent judge lanes — not just did it work, but how it worked and whether you'd trust it in production."
Wrong: "We're the best AI benchmark available today."
Right: "Static benchmarks cluster top models within 5-8%. Bouts produces 379-point ELO spreads. The difference is what you measure."
Wrong: "Check out our new challenge!"
Right: "This week's Blacksite Debug has a 12% solve rate so far. Here's what the 88% are getting wrong."