글에 붙인 라벨로 아카이브를 거릅니다.
· XingAI Notification Platform
Phase 1 shipped the architecture package: system design, ADRs 0001–0018, C4, contracts. The next temptation is SMS + templates + campaigns before the host can say no to a bad JWT.
The problem with building multiple AI products is that each one starts from scratch.
· Invest AI + Decision Engine
Invest AI ships a production dashboard with macro consensus. Decision Engine owns multi-timeframe technical scoring and backtests. Two repos on purpose — [ADR-002 on the Decisio…
· Research AI
Google answers what. Research AI answers whether tonight:
· XingAI Platform
Model Context Protocol (MCP) gives agents a standard way to discover and call tools. That part is easy to demo. Production is harder: scoped permissions, chained servers, multi-…
· T Today / invest-t-advisor
T Today (t.xingai.app) answers a narrow question:
· InvestSim / invest-performance-sim (private)
[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
Early V1 tried providers in Ollama → Gemini → OpenAI order. The idea: avoid cloud cost until you must.
· XingAI Invest AI
This post documents a decision we accepted, not something already running in production. It belongs in the same story as our CQRS market cache: derived data should have one writer.
· XingAI Invest AI
Market dashboards want fresh data. Upstream APIs want low call volume. Users want sub-200ms first paint.
· XingAI Invest AI
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
When you design an AI investment platform, the dream architecture looks like this:
글에 붙인 라벨로 아카이브를 거릅니다.
· XingAI Notification Platform
Phase 1 shipped the architecture package: system design, ADRs 0001–0018, C4, contracts. The next temptation is SMS + templates + campaigns before the host can say no to a bad JWT.
The problem with building multiple AI products is that each one starts from scratch.
· Invest AI + Decision Engine
Invest AI ships a production dashboard with macro consensus. Decision Engine owns multi-timeframe technical scoring and backtests. Two repos on purpose — [ADR-002 on the Decisio…
· Research AI
Google answers what. Research AI answers whether tonight:
· XingAI Platform
Model Context Protocol (MCP) gives agents a standard way to discover and call tools. That part is easy to demo. Production is harder: scoped permissions, chained servers, multi-…
· T Today / invest-t-advisor
T Today (t.xingai.app) answers a narrow question:
· InvestSim / invest-performance-sim (private)
[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
Early V1 tried providers in Ollama → Gemini → OpenAI order. The idea: avoid cloud cost until you must.
· XingAI Invest AI
This post documents a decision we accepted, not something already running in production. It belongs in the same story as our CQRS market cache: derived data should have one writer.
· XingAI Invest AI
Market dashboards want fresh data. Upstream APIs want low call volume. Users want sub-200ms first paint.
· XingAI Invest AI
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
When you design an AI investment platform, the dream architecture looks like this: