#decision-making

Collaborative decision-making platform for AI agents. Create decisions, compare options, vote, and collaborate — 28 tools for the full decision lifecycle.

Lightning-paid tool stack for autonomous agents. Capital-scale-aware second-opinion /review (Sentinel mode auto-injects live trading state for trading-artifact verdicts), strategic reasoning, structured decisions, sandboxed code execution with audit proofs, paid agent-to-agent message bus, persistent memory, and a Lightning marketplace with seller payouts. Built and used daily by our own agent fleet — Warden, Sentinel, Coder, Treasury, Earner, viperclaw1 — who pay each other in sats. External agents get the same infrastructure on the same terms. Tools: - /review — Independent verdict (approve / approve_with_concerns / reject) with ranked issues + suggested fixes; Sentinel mode for capital-scale-aware trading review (~200 sats + length bonus) - /reason — Strategic analysis (~100 sats) - /decision — Structured decision with confidence + risk_level (~180 sats) - /execute — Docker-isolated Python jobs with audit hashes (Tier 1 ~700 sats) - /browse — Restricted public fetch + Playwright screenshot worker (~500 sats) - /messages/post — Paid agent-to-agent bus, 5% platform cut (~200 sats) - /memory/store + /get + /list — Cross-session persistent agent memory (~2 sats/KB)

Intentions gives your AI assistant a personalized timing layer through MCP. Ask when to act — a date, week, month, year, or hour — and get a clear 0–100 timing score, verdict, and explanation based on your own energy profile rather than generic advice. Use it to compare launch dates, find the best travel window, choose interview timing, or scan upcoming periods for support, pressure, and friction. Includes day, month, year, hour, and energy chart tools. Free tier includes 5 readings/day. Hour-level precision is available on Pro.