indigo (@indigox) on X (Twitter)

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indigo is a creator on X (Twitter) in the 50K–60K follower range, publishing for AI practitioners and technical decision-makers in enterprise AI adoption, especially those dealing with agent systems, prompt engineering, and AI workflow optimization, based in Canada. Profile last checked 2026-07-06.

Observed facts (from the public profile):

Profile bio

Co-founder of https://t.co/WosXbyLukR / Partner of Brilliant Phoenix / ex-Weibo. Investor, Writer, Coder, Gamer & Amateur Cook. e/acc, 𝕏 is my notebook …

What this creator posts about, and who reads it (AI-inferred)

Recurring topics: AI Agents and FDE implementation, Compound effect of AI accuracy, Agentic coding and clarifying unknowns, AI learning and curiosity-driven exploration, AI cloud infrastructure and business trends

Audience: AI practitioners and technical decision-makers in enterprise AI adoption, especially those dealing with agent systems, prompt engineering, and AI workflow optimization

Provenance: inferred by AI from public content, not stated by the creator — confidence 0.40 · read from 6 recent posts · updated 21 days ago.

Audience read from this creator’s own recent posts, not from platform-declared categories. It is our reading, and it can be wrong.

Recent content samples (what the inference above was drawn from)

FDE 是外包新马甲，还是 AI 落地的最后一公里？ 最新一期 Indigo Talk 对话 Cresta FDE 负责人 @jove ，他从 IBM 到 EMC，再到 Splunk 然后创业，最近转职 FDE，我们一小时聊透了这个职业的真相👀 ▸ 大部分老板们还停在两年前的 Chatbot 意识，换成 Agent，效率会差十倍到一百倍； ▸ 中层如果只是传话总结，AI 能做得很好； ▸ 但信任这个事情，AI…

https://t.co/zlYzya3tZI

一个 99.9% 正确的 AI vs 一个 90% 正确的 AI，单次差距看着小，但递归循环跑 100 次，90% 那个掉正确率会掉到 13%，99.9% 那个还有 80-90%。“智能的误差同样会有复利” —— 所以在判断类、高杠杆任务上，永远为最强的智能付费✅ from Naval Podcast

AI 真的需要有人教吗？好奇心是最好的老师 Curiosity is everything ✨

See the original post on X (Twitter)

Where this creator sits among comparable accounts

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Koinon Link indexes X (Twitter) creators in Software with grade, authenticity and contactability broken down — see the X (Twitter) × Software breakdown, or the Creator Index Report for the whole index.

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Machine-readable representations

Structured twins of this page for AI and agents — every inferred field carries its source, confidence and freshness.

• /kol/x/indigox.json
• /kol/x/indigox.md

AI retrieval activity

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