The stack map behind AI-native talent.
Capabilities connect the models, agents, data systems, browser tools, and deployment patterns founders may need. Public showcases add examples where the network has them.
LLMs
Prompted model reasoning, extraction, summarization, or decision support.
Agents
Multi-step workflows with memory, tools, state, or autonomous loops.
Browser Automation
Browser-driven research, scraping, posting, QA, or verification.
Scraping
HTML, API, ATS, investor-relations, or marketplace extraction.
Computer Vision
Image/video detection, tracking, frame annotation, and visual measurement.
MCTS
Monte Carlo Tree Search and Information Set MCTS for strategy search.
Simulation
Simulated games, tournaments, decision testing, and counterfactual analysis.
Data Pipelines
Collection, normalization, enrichment, scheduling, and persistence.
Evals
Regression tests, tournaments, quality checks, and validation harnesses.
Deployment
Vercel, Railway, GitHub, CI, production verification, and release workflows.
Monitoring
Source health, cron status, alerts, crawl-depth checks, and freshness tracking.
Dashboards
Public or internal visual data products and reporting views.
Content Generation
Drafting, summaries, scripts, videos, and channel-specific outputs.