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Building Sparq Studio — a multi-agent AI platform, not a single-purpose tool.

Homeby BFG | gero9mo2026-09-17
Building Sparq Studio — a multi-agent AI platform, not a single-purpose tool. It's a normal chat where you can talk to individual models directly (Claude, GPT, Grok, Gemini, Qwen, DeepSeek, more being added), a "Boardroom" mode where Sparq itself — a separate synthesis layer — consults its own internal panel of tuned agents and merges their takes into one voice, and a build layer on top (CRM, booking tools, landing pages, pitch decks, chatbots with their own memory), all sharing the same context/memory about the user. Two different multi-agent layers running under one roof, each doing a bunch of small structured decisions on every message — which single agent should answer when addressed directly, which internal panel members Sparq's synthesis should consult, is this worth remembering, is an old conversation relevant to the new one, which build template fits the request. All of that currently goes through full LLM calls. That's
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I tried to create a latent context layer that is a warmed up version of a small LDA Topic model that is injectable into the context window via memories or system prompts.I made some CVSS classification scripts that use Jev to generate a CVSS vector for a given software vulnerability description.Jev can be used for profiling players, which is great for organizing playtests and checking balance changes across different player groups.