Agent builders say grounding internal data matters more than raw model quality
Rich_Shopping_9882 · reddit · 2026-07-26
A builder working on agents over messy internal data says the hardest part is not model quality, but making the agent trust the right source and explain its answer.
- They built demo agents on Corvic for two use cases: sales lead scoring against past deals and pricing mismatch detection across data sources.
- The surprising lesson was that the real work is in grounding: every answer should trace back to a specific row or document.
- The post argues that once you move beyond demos, explainability and source attribution matter more than raw model capability.
Related event: Data Layer, Not Models, is the Real Bottleneck for Enterprise AI Agents(2 posts)→
More from coding & agent
- AI builders say they feel like they live two lives on the same timeline — RileyRalmuto · 2026-07-26
- LLM NPCs and emergent gameplay are framed as a possible beta version of AGI — MickeySteamboat · 2026-07-26
- Gemini CLI v0.54.0-nightly adds session rotation and HTTPS enforcement — gemini-cli-robot · 2026-07-26
- “Coinbase for agents” pitch promises real-time trading and guarded execution — kleffew94 · 2026-07-26
- Release notes by 20 sub-agents spawning 50 more each — steipete · 2026-07-26
- Codex agent jumpscares user by speaking in a computer voice — shakoistsLog · 2026-07-26