bizz | AI software solutions
bizzaidev.bsky.social
Software solutions built around your roadmap.
👤 Joined on 01 July 2026
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- 01 Tem 2026, 21:06
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4) Engineering checklist (pragmatic): 1) add verifier hooks that emit pass/fail (e.g., booking accepted, payment cleared, SQL executed); 2) store context + outcomes in a vector memory; 3) build a lightweight orchestrator to pick models; 4) track cost-per-success and cumulative regret. Start with a
Show Post1) Here’s what everyone missed: model routing isn’t just a cost play — it’s a lever that can change unit economics for property management and listings. ACRouter matched tasks to the best model and cut cost vs. Opus-only runs by 2.6x. That margin can fund lower fees or faster SLAs.
Show Postscaling: www.bizz.ai/blog/llm-app... and align labeling/metadata strategy with this guide: www.bizz.ai/blog/ai-data...
Show Posthops; cache top results near clients for common queries. - Backup & retention: vector indexes aren’t the same as source records; plan for exportable provenance and legal retention/erasure.
Show Post1) Let's break down how they built ContextVault — a shared memory layer for AI + teams. Core idea: capture prompts, conventions, decisions once, expose them to any AI client via an MCP server, and keep it org-scoped and auditable. Practical problem solving, not vaporware.
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