INTELLIGENCE ENGINE
BRIEFKIT MODES
Same pipeline. Different signal weights. One engine, infinite contexts. Choose your operating environment.
BriefKit ingests live signal feeds—trending repos, market data, social velocity, editorial coverage—and transforms them into ready-to-ship content. Every morning, you get a prioritized action list, short-form scripts, and a cultural intelligence brief. The system watches the noise so you can focus on the signal. Select an industry mode below to see how the same engine adapts its weighting, language, and outputs to your operating context.
OPERATING MODE
Tech / AI
Systems. Speed. Scale.
ShipBuildRefactorDeployTest
LIVE SIGNAL SOURCES
GitHub Trending
↑Hacker News
→OpenAI / Anthropic
↑VC Announcements
→AI Twitter Clusters
↑PIPELINE
01
MODE
→
02
INPUT
→
03
PARSE
→
04
TRANSFORM
→
05
OUTPUT
SAMPLE OUTPUT • TECH MODE
BUILD / SHIP / REFACTOR
Priority stack for builders1
Ship:Claude 3.5 Sonnet integration before competitors
Confirmed·Signal: High·↑
AI Twitter → Model Releases
2
Build:MCP server for new Anthropic tools API
Confirmed·Signal: High·↑
GitHub → Trending Repos
3
Refactor:Auth layer before SOC2 audit deadline
Inferred·Signal: High·→
VC Intel → Compliance Trends
4
Test:Edge case handling in RAG pipeline
Confirmed·Signal: Med·→
HN → Production War Stories
5
Deploy:Vercel AI SDK v4 migration
Inferred·Signal: Med·↑
GitHub → Framework Updates
Systems. Speed. Scale.
HOW MODES WORK
📡
Signal Sources
Each mode subscribes to different live feeds. Tech tracks GitHub. Finance tracks on-chain. Same infrastructure, different inputs.
⚖️
Signal Weighting
Same signal ≠ same importance. "Meme velocity" is high-priority in Crypto, low-priority in Enterprise. Context determines weight.
🎯
Output Templates
Industry-native language. "Ship Today" becomes "Drop Watch" in Fashion, "Trade/Position/Observe" in Finance. Same structure, native vocabulary.
BRIEFKIT MODES • SAME PIPELINE • DIFFERENT WEIGHTS • INFINITE CONTEXTS