Deep Insight Agent vs general-purpose AI
ChatGPT / Claude / Tongyi / Ernie are great tools. But they aren't trained for "meeting insight."
| Dimension | Deep Insight Agent | General-purpose AI (ChatGPT, etc.) |
|---|---|---|
| Scenario training | ✓ 12 methods designed specifically for "meeting insight" | General-purpose chat, not trained for meetings |
| Evidence chain | ✓ Every judgment has a [#claim-N] anchor — click to jump to the source | Judgments are disconnected from the source and hard to trace |
| Silent signals | ✓ Proactively spots "who stayed silent at a key moment" and "what topics were avoided" | Doesn't proactively capture silent signals |
| Consensus in the room vs real consensus | ✓ Distinguishes "agreeing out loud" from "agreeing inwardly" | Equates how much someone talks with the strength of consensus |
| Cross-recording tracking | ✓ Automatically compares how positions evolve and whether action items get done across a project's meetings | Every conversation stands alone, with no memory |
| Participant profiles | ✓ Accumulates automatically — six months in, your judgment base knows these people | Leaves no long-term memory |
| Method version snapshots | ✓ An analysis from 3 months ago is always reproducible (method_version is immutable) | Output may drift after a model upgrade |
| Enterprise isolation | ✓ Hard RLS multi-tenant isolation + optional on-prem deployment | Relies on the vendor's promise |
| Chinese optimization | ✓ A Chinese method system (Probe the Bones, McKinsey, First Principles) | Chinese conversation is OK, but there's no Chinese insight method library |
| Professional output | ✓ A format consulting partners and strategy teams can adopt directly | Users have to reorganize it themselves |
When to use general-purpose AI
- · Having AI write an email
- · Summarizing an article
- · Writing code / editing a deck
- · Translating / rewriting
- · Everyday brainstorming
When to use Deep Insight Agent
- · A deep retro of an important meeting recording
- · Game-theory breakdown of funding / client negotiations
- · Auditing the assumptions in a strategy scenario
- · Tracking a project / key person across quarters
- · Producing output from consulting client interviews
General-purpose AI helps you save reading time; Deep Insight Agent helps you save judgment time.
Try it with a sample →