Launching today
Sea.rho7
"The AI tutor that works without WiFi"
10 followers
"The AI tutor that works without WiFi"
10 followers
"Sea.rho7 is a hybrid AI platform with two sides. For students (Class 6-12, CBSE/TBSE/ICSE): AI tutoring that keeps working with zero internet. For builders: Sea.rho7 Professional runs Gemini, Codex, and Claude together on every question — one drafts, another adds precision, a third synthesizes the final answer — plus an AI Marketplace directory for every other tool you need. Built solo from Agartala, Tripura, using AI-assisted development."
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Solo dev building something this ambitious from Agartala is impressive. One thing I want to understand better: when you say the three models collaborate on a single question, how do you handle the latency hit? Running Gemini, Codex, and Claude sequentially on every prompt seems like it would add real wait time, especially if the user is paying API costs on top. Is there caching or parallel routing happening behind the scenes?
@denizbyktedls6 "Great question, and honestly — right now it's sequential, not parallel. Gemini drafts, then Codex does its pass, then Claude synthesizes both. No caching yet either. So yes, there's real latency — typically 7-15 seconds depending on the question, and real cost across all three calls.
The obvious next optimization: Gemini and Codex don't actually depend on each other, so they could run in parallel — only Claude's synthesis step genuinely needs to wait for both. That's next on my list.
Being upfront — this is a solo build, and I've prioritized 'does the collaboration genuinely produce better answers' over latency so far. Feedback like this tells me what to fix next."
How do the three models (Gemini, Codex, Claude) actually split the work on a single question? Does one always take the lead or is it dynamic based on the prompt type?
@nkomoglu61553 "Right now it's fixed, not dynamic — Gemini always drafts first, Codex always does a technical precision pass second, and Claude synthesizes both into the final answer (Claude's synthesis step is being finalized right now, so responses currently reflect Gemini + Codex).
No prompt-type routing yet — every question goes through the same two-step process regardless of whether it's a coding question or general knowledge. That's actually a good next improvement: a coding-heavy prompt probably shouldn't wait on a full sequential pass the same way a simple factual question would.