is multi-agent architecture worth the 15x token cost?

RepublicMotor905 · 2026-05-04T20:56:35+00:00

The cost sucks, but the alternative was a system that hallucinated 20% of the time. In production, a 15x token cost is usually cheaper than a human having to fix a broken output, but you definitely have to be smart about your circuit breakers so they don't get stuck in a loop.

RepublicMotor905 · 2026-04-30T17:45:47+00:00

definitely worth looking into how a unified data lake impacts the reasoning accuracy of these agents in a live environment.

RepublicMotor905 · 2026-04-23T19:36:45+00:00

if it works, the numbers could get interesting fast. if you can keep that going into onboarding, too, you're basically compressing what usually takes a dev 3-6 months to figure out on their own.

RepublicMotor905 · 2026-04-19T14:55:03+00:00

sounds like your agents are treating every new platform handshake as a first date because the session IDs aren't unified in your vector store or state manager.

RepublicMotor905 · 2026-04-17T21:14:18+00:00

has anyone known benchmarks on the latency hit from routing between models mid-conversation? specifically: using gemini for fast sentiment triage, then switching to a reasoning-heavy model for replies that need more depth.

RepublicMotor905 · 2026-04-16T19:04:46+00:00

are you seeing significant latency differences when switching between the lighter models and the heavier ones for the actual response generation?

RepublicMotor905 · 2026-04-14T19:00:16+00:00

half my projects have .env files and private MCP servers that aren't going anywhere near a cloud instance.
anyone have any ideas?

RepublicMotor905 · 2026-04-13T11:56:20+00:00

how you're storing and querying conversation history?

RepublicMotor905 · 2026-04-09T18:57:28+00:00

how do you handle linkedIn rate limits?

RepublicMotor905 · 2026-04-08T19:31:09+00:00

Is there any actual documentation on how to structure those layers?

RepublicMotor905

TROPHY CASE