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About Codimir
API Reference
Codimir Codec SDK
ArchitectureIntroductionResearch — Telepathy CodecRoadmapSafety, Privacy, and Ethics
Short Prompt Generator (SPG)
Concepts
Codimir AI Fabrick
Use Cases
Codimir Codec SDKPlaybooks

Short Prompt Generator (SPG)

Playbook for compressing noisy inputs into compact, role-aware prompts.

Short Prompt Generator (SPG)

Objective: derive a compact, high-signal prompt from raw inputs (typed/voice today, neural later).

Inputs

  • Text or ASR transcript
  • (Future) Wake-word confidence + micro-gesture features
  • Project context (repo/tickets)

Steps

  1. Normalize (lower, trim, remove fillers)
  2. Segment tasks vs questions
  3. Extract entities (repo, file, function, service)
  4. Identify intent class (code/spec/review/deploy)
  5. Compose minimal prompt with role hints and acceptance criteria
  6. Apply budget/safety policy filter

Diagram

sequenceDiagram participant Source as Source (voice/typed) participant SPG as Short Prompt Generator participant Policy as Policy Filter participant Fabric as Fabric Source->>SPG: raw input SPG->>SPG: normalize + segment SPG->>SPG: extract intent/entities SPG->>Policy: validate budgets/safety Policy-->>SPG: ok / adjust SPG-->>Fabric: short prompt + role hints

Safety, Privacy, and Ethics

Consent-first capture, edge pre-filtering, data minimization, revocation, and audit.

Concepts

Foundational ideas behind Codimir: Context Capsules, Reference Graph, and Record of Work.

On this page

Short Prompt Generator (SPG)InputsStepsDiagram
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