Overview
A scheduled market intelligence system that produces governed reports for people and machine interfaces. It is an internal production system and personal R&D project — not a commercial financial SaaS.
Internal R&D Case Study · Personal R&D
Verified Market Intelligence Platform
A scheduled intelligence workflow that gathers information, creates structured reports and checks timing, identity, completeness and evidence before content is stored or delivered.
01Schedule
02Gather
03Draft
04Validate
05Store / deliver
The problem
Market information arrives from multiple sources and can become misleading when timing, security identity or missing data is hidden behind fluent prose.
Design approach
Define the correctness contract first. Data and rules own time, stock identity, completeness and evidence; language models work inside those boundaries.
Workflow
A scheduled trigger gathers market and news inputs, aligns market context, prepares a structured draft, applies quality gates, then stores and delivers only an accepted result.
AI role
AI assists drafting, summarising and organising research. It does not act as a clock, invent missing market data, execute trades or provide regulated investment advice.
Reliability safeguards
Time and identity checks can fail closed. Evidence, completeness and report integrity are evaluated before storage; grounded research answers can abstain when support is insufficient.
Current status
Confirmed as an internal production system with scheduled reporting, structured storage, governed outputs and human/machine interfaces. Some security, CI and future research capabilities remain incomplete or planned.
Reusable applications
The pattern can extend to personal research, regulation monitoring, supply-chain intelligence, industry briefings and other scheduled knowledge workflows where timing and evidence matter.
Evidence calibration
Rules decide whether a report may proceed.
Multiple sourcesTime & identityEvidence gateGoverned reportHuman + API
Begin with the problem
Bring the problem.
We’ll start by understanding it.
Tell me what is not working, what you are trying to improve, or what idea you would like to explore.
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