SoloTrillion.ai
One person. Four AI agents. A creator operation.
280 followers
One person. Four AI agents. A creator operation.
280 followers
Solo Trillion Orchestra is a four-agent AI platform for thought leaders who want to operate like a media company — without the headcount. Rosie, your AI chief of staff, monitors your newsletters, classifies trend signals daily, and delivers a curated digest straight to Telegram. You approve what matters. The Writing Agent generates articles and LinkedIn posts in your voice. One intelligence pipeline. Zero blank pages.
The "classifies trend signals daily" part — what's Rosie actually pulling from? Just newsletters you manually feed in, or does she connect to RSS feeds, Twitter lists, Substack subscriptions? The sourcing quality seems like it determines whether the whole pipeline is useful or just noise dressed up as curation.
@sounak_bhattacharya Thanks, that’s a good question and a fair challenge. You’re right that sourcing quality is the whole game — a classifier is only as good as what flows into it.
Rosie currently pulls from Gmail newsletter ingestion as the primary source. I subscribe to ~40 curated newsletters across tech, culture, consumer behavior, finance, and media — the signal layer I’ve been refining for years as a trend forecaster. These hit a dedicated inbox, Rosie ingests them on a daily schedule, parses individual articles out of each newsletter, and classifies every item against my nine Ubertrends framework plus a Layer 0 filter of 49 coined subtrends (Screensucking, Slopulism, Greedflation, etc.).
The reason I started with newsletters rather than RSS or Twitter lists is that newsletters are already a human-curated layer. A good editor has pre-filtered a firehose down to what matters. RSS gives you everything a publication posts; a newsletter gives you what that publication’s editor thought was worth your attention this week. Stacking 40 of those gets you a meta-curation layer before any AI touches it.
That said, the roadmap does expand sourcing — X/Twitter trend monitoring via an MCP integration is in progress, and screenshot ingestion via Telegram is already live for when I spot something in the wild that isn’t in a newsletter yet. RSS is deliberately lower priority because it reintroduces the noise problem the newsletter layer was solving.
The classification itself uses semantic rather than keyword matching, which affects the branded subtrend layer, since terms like “Slopulism” won’t appear literally in headlines — Rosie has to recognize the pattern.
So the honest answer: it’s not noise dressed up as curation because the curation happens three times: by the newsletter editors I’ve chosen, by my choice of which newsletters to subscribe to, and by the classification layer on top. Whether that produces genuinely useful trend intelligence vs. just well-organized noise is the question STO is built to answer publicly.
@sounak_bhattacharya Thanks, that’s a good question and a fair challenge. You’re right that sourcing quality is the whole game — a classifier is only as good as what flows into it.
Rosie currently pulls from Gmail newsletter ingestion as the primary source. I subscribe to ~40 curated newsletters across tech, culture, consumer behavior, finance, and media — the signal layer I’ve been refining for years as a trend forecaster. These hit a dedicated inbox, Rosie ingests them on a daily schedule, parses individual articles out of each newsletter, and classifies every item against my nine Ubertrends framework plus a Layer 0 filter of 49 coined subtrends (Screensucking, Slopulism, Greedflation, etc.).
The reason I started with newsletters rather than RSS or Twitter lists is that newsletters are already a human-curated layer. A good editor has pre-filtered a firehose down to what matters. RSS gives you everything a publication posts; a newsletter gives you what that publication’s editor thought was worth your attention this week. Stacking 40 of those gets you a meta-curation layer before any AI touches it.
That said, the roadmap does expand sourcing — X/Twitter trend monitoring via an MCP integration is in progress, and screenshot ingestion via Telegram is already live for when I spot something in the wild that isn’t in a newsletter yet. RSS is deliberately lower priority because it reintroduces the noise problem the newsletter layer was solving.
The classification itself uses semantic rather than keyword matching, which affects the branded subtrend layer, since terms like “Slopulism” won’t appear literally in headlines — Rosie has to recognize the pattern.
So the honest answer: it’s not noise dressed up as curation because the curation happens three times: by the newsletter editors I’ve chosen, by my choice of which newsletters to subscribe to, and by the classification layer on top. Whether that produces genuinely useful trend intelligence vs. just well-organized noise is the question STO is built to answer publicly.
This is exactly the model I've been running as a solo finance content creator. One person operating like a media company — content, distribution, community — powered by AI workflows. I run the Mod3Loop YouTube channel (https://www.youtube.com/@Mod3Loop) covering financial modeling for M&A and renewable energy, and the AI-assisted production stack has been a game changer for staying consistent without a team. The framing of "four AI agents" maps perfectly to what I'm doing across research, scripting, editing workflow, and community management. Congrats on the launch — this fills a real gap.
@samir_asadov Thanks, Samir, I appreciate you stopping by — the solo-operator-as-media-company pattern is exactly the thesis Solo Trillion Orchestra is built around, so it's good to see it playing out in finance content too. The "consistency without a team" piece is the real unlock; that's what collapses when you're doing it manually and what AI workflows actually solve.
Solo Trillion Orchestra is very much in active build — more agents, deeper integrations, and sharper orchestration coming over the next weeks. The four-agent architecture is the foundation, not the ceiling. Good luck with Mod3Loop.