Digital Agents: What are possible Post-nominal Letters (PNL) strategies for identifying different kinds or roles for digital agents?

Copyright © 2026 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License
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Post-nominal letters (PNL) appear after a person’s name to indicate qualifications, certifications, honors, or memberships—for example:

• John Smith, PhD
• Jane Doe, CPA
• Alex Lee, P.Eng.

More formally, they fall under the broader concept of titles and credentials, but the specific term for the letters themselves is post-nominal letters.

For completeness:

• Pre-nominal titles go before the name (e.g., Dr., Prof., Hon.)
• Post-nominal letters go after the name (e.g., degrees, certifications, orders)

Here’s a structured, “post-nominal strategy space” for digital agents, with clear semantics rather than just decorative suffixes.

NOTE: Digital agent PNLs can be made machine-readable by representing them as DIDs from the did:pnl DID method.

1) What post-nominals mean (translated to agents)

For humans, post-nominals encode:

• Qualification → what you know
• License/authority → what you’re allowed to do
• Role → what you currently are doing
• Affiliation → who you act for
• Reputation → how trusted/proven you are

For digital agents, you want the same—but machine-readable and composable.

2) Core strategy: modular, layered suffixes

Instead of one long suffix, think in stacked tokens, e.g.:

AgentName.AI, LLM-ARCH, FIN-EXEC, GOV-VERIFIED, REP-3

Each segment conveys a different dimension.

3) Suggested taxonomy (orthogonal dimensions)

A. Capability Class (what it can do)

High-level “degree-like” classification.

Examples:

• LLM — language model agent
• PLN — planner
• AUT — autonomous executor
• SIM — simulation agent
• ORC — orchestrator

Strategy:

• Keep this coarse-grained and stable
• Think “Bachelor’s/Master’s level abstraction”

B. Domain Specialization (what it knows)

Like majors or certifications.

Examples:

• FIN — finance
• MED — medical
• LEG — legal
• DEV — software engineering
• OPS — operations

Optional depth:

• FIN-RISK, DEV-BLOCKCHAIN, MED-DX

C. Authority / Permission Level (what it is allowed to do)

This is critical for agents.

Examples:

• ADV — advisory only
• SIM — simulation-only (no real-world effects)
• ACT — can act (limited)
• EXEC — full execution authority

More granular:

• PAY-EXEC (can move money)
• SYS-ADMIN (system-level authority)

D. Trust / Verification Level (who vouches for it)

Analogous to licenses or chartered status.

Examples:

• SELF — self-asserted
• ORG- — organization-backed
• 3P-VER — third-party verified
• GOV-VERIFIED — government-level assurance

You can align this with DID/VC ecosystems:

• VC-L2, VC-L3 (credential assurance levels)

E. Operational Role (what it is doing right now)

Dynamic, context-dependent.

Examples:

• BROKER — intermediary
• AGENT — acting on behalf
• AUDITOR — oversight
• GUARD — safety enforcement
• NEGOTIATOR

This is closest to job title.

F. Affiliation / Principal (who it represents)

Critical in multi-agent systems.

Examples:

• @SVRN7
• @USER
• @ORG-ACME
• @DAO-123

G. Reputation / Performance Tier

Like honors or fellowships.

Examples:

• REP-1 → REP-5
• TRUST-HIGH
• SLA-99.9

Could be computed:

• uptime
• accuracy
• dispute history

4) Example compositions

Minimal

AgentX, LLM, DEV, ADV

→ Developer-focused advisory agent

Execution-capable financial agent

AgentY, AUT, FIN, PAY-EXEC, 3P-VER, REP-4

Governance auditor agent

AgentZ, ORC, GOV, AUDITOR, GOV-VERIFIED, REP-5

Personal assistant acting for a user

AssistBot, LLM, GEN, ACT, @USER, REP-2

5) Design principles (important)

1. Orthogonality (you asked for this earlier)

Each suffix should answer a different question:

• What is it?
• What does it know?
• What can it do?
• Who trusts it?
• Who does it serve?

Avoid mixing these.

2. Machine-readability > human readability

Use:

• consistent separators (-, .)
• short controlled vocabularies

This enables:

• filtering
• policy enforcement
• automatic routing

3. Verifiability

Some suffixes should be:

• cryptographically provable (via credentials)
• not just self-declared

4. Progressive disclosure

You don’t always show everything:

• UI: simplified (“Finance Executor, Verified”)
• System: full suffix chain

5. Avoid overfitting

Don’t create 200 micro-suffixes.

Instead:

• small core vocabulary
• extensible registry (like SLIP-0044 idea you mentioned earlier)

6) A compact canonical format (proposal)

You could standardize something like:

<Name>, <Class>, <Domain>, <Authority>, <Verification>, <Role>, <Affiliation>, <Reputation>

Example:

Orion, AUT, FIN-RISK, EXEC, VC-L3, BROKER, @SVRN7, REP-4

7) Where this gets powerful

This enables:

• agent routing (find “EXEC + FIN + VERIFIED”)
• policy enforcement (block PAY-EXEC unless VC-L3+)
• trust negotiation between agents
• UI clarity for users (“this agent can actually act vs just advise”)