· Invest AI · InvestSim · Robinhood MCP
Three Repos, One Paper-to-Draft Loop
Invest AI ranks and caches. InvestSim papers many sleeves. Robinhood MCP drafts orders under gates.
invest-ai
Filter the archive by the labels we put on each post.
· InvestSim
Five More Paper Sleeves: InvestSim Tier-2.5 Without a New Signal Feed
After Tier-2 (ADR 0030), the next sleeves had to reuse Invest AI's ranking surface — not invent a parallel signal bus.
· XingAI Invest AI
Today Intelligence and the Report Surfaces That Stay Inside Invest AI
A draft "Daily Stock Market Intelligence" stack looked like a new FastAPI + Alembic + Next app. Invest AI already had Resend digests, report triggers, macro radar, and a reports…
· XingAI Invest AI
From Signal Events to Strategy Lab: Worker-Owned Paper Inside Invest AI
ADR-035 position-signal events
· XingAI Invest AI
每日投资智报: Extend Invest AI, Do Not Spin Another Report Product
A dense Chinese A4 PDF framed around a $200K FI portfolio looks like a new product. New domain. New worker. New Resend project. Maybe a cute investment-report.xingai.app.
· XingAI Platform / XingAI Founder
XingAI Opportunity Radar — June 24, 2026: The Agent Stack Converges
Big Tech’s June releases are not random feature drops. They line up on one stack:
· XingAI Invest AI
Saved Preferences Are Not Decisions: Tracking Stocks Without Breaking the Worker Boundary
A financial decision system has two very different kinds of state:
· Invest AI
One Admin, Real Power: Why We’re Skipping SMS and Planning Email OTP
Invest AI’s admin surface is not a demo toggle. A signed-in operator can:
· XingAI Invest AI
Worker-Cache Email Digests: Notifications Without Moving Decisions Into the API
An investment dashboard is useful when the user opens it. A morning decision brief needs to arrive before the user asks.
· XingAI Invest AI
Agentic Does Not Mean Autonomous Trading
"Agentic" is an overloaded word. In an investing product, it needs a boundary.
· XingAI Invest AI
Structural Risks in AI Investing Products
The dangerous part of an AI investing product is not only a bad answer. It is a confident answer built on fragile structure.
· XingAI Invest AI
Email Is the Decision, PDF Is the Explanation
The first version of our daily-picks email worked technically. It read the worker cache, selected top signals, and sent an email. But the product shape was wrong: it looked like…
· XingAI Invest AI
Decision Observability: Making AI Signals Auditable
An AI investment dashboard should not only show an answer. It should show why the answer changed.
· InvestSim / invest-performance-sim (private)
InvestSim Becomes a Live Paper Engine
InvestSim started as a dashboard that could show a daily AI pick. Today it became a small, deterministic paper-trading engine.
· InvestSim / invest-performance-sim (private)
Splitting the Paper Lab: Why InvestSim Lives in Its Own Repo
[Invest AI](https://xingai.app/apps/invest-ai) answers “what does today look like?” — signals, dashboard context, and (eventually) richer decision surfaces. A different question…
· XingAI Invest AI
Building a Three-Layer AI Architecture for Investment Decisions
Most AI investment tools today work like this: dump market data into one LLM, get an answer back. It's simple, and it's wrong.
· XingAI Invest AI
MCP Phased Rollout: From Dashboard to Autonomous Trading
When you design an AI investment platform, the dream architecture looks like this:
· XingAI Invest AI
Why We Chose a Hybrid LLM Pipeline: Gemini Screens, OpenAI Decides
Our V1 system uses a fallback chain: try Ollama (local, free), then Gemini, then OpenAI. Whichever model responds first wins. It's resilient, but every model does the exact same…