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Stages: rename titles, fix execution order, remove all numbered references

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Hermes
2026-06-04 20:04:34 +00:00
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@@ -79,7 +79,7 @@ Because the LLM never makes a decision — it only translates — there are zero
| Graph growth | Manual — human experts build and update in Studio | Automatic — autodidactic loop hardens from Gate decisions |
| LLM role | Natural language translation only | Proposes actions, facts, interpretations; cannot overrule Gate |
| Audit trail | Proof trees from reasoning engine | Full decision log from every Gate action |
| Execution environment | Conventional cloud/SaaS | Lisp address space, bare metal at Stage 3+ |
| Execution environment | Conventional cloud/SaaS | Lisp address space, bare metal at Lisp Machine onwards |
| Identity | User accounts in SaaS | Self-sovereign DID |
| Social protocol | None | DIDComm, PDS, relay, compute marketplace, liquid democracy |
| Openness | Proprietary, closed source | Designed to be open and self-hosted |
@@ -102,7 +102,7 @@ Because the LLM never makes a decision — it only translates — there are zero
* Implications for Passepartout
**Validation.** Rainbird proves the market exists. Enterprises will pay significant sums for deterministic symbolic AI over a natural language interface. Every Rainbird case study — especially in regulated industries — validates the revenue model Passepartout targets for Stage 2.
**Validation.** Rainbird proves the market exists. Enterprises will pay significant sums for deterministic symbolic AI over a natural language interface. Every Rainbird case study — especially in regulated industries — validates the revenue model Passepartout targets for the Neurosymbolic Agent stage.
**Differentiation.** Rainbird's weaknesses are Passepartout's strengths. The autodidactic loop, the evaluation loop interposition, the social protocol, the Lisp address space, the self-hosted pricing — these are gaps in Rainbird's offering that Passepartout can exploit.