Software Design Specification - Core / Prompt Engineering
Proposed
Applied Linguistic Engineering (ALE) is the science of linguistic transmutation - transforming base LLM responses into breakthrough outputs through systematic manipulation of semantic-mathematical tensions.
ALE parallels Applied Mathematics:
The service implements the TRANSMUTE Protocol™ and the Dialectical Emergence Engine, while ensuring:
Transform Regular Answers into Supernatural Understanding Through Managed Utterance Tension Engineering
1
PROBE → DESTABILIZE → AMPLIFY → CRYSTALIZE → TRANSCEND
| Stage | Purpose | Mechanism | Invariant Role |
|---|---|---|---|
| PROBE | Map idiolect structure | Linguistic spectroscopy | Identify invariants to preserve |
| DESTABILIZE | Create productive chaos | Controlled chaos injection | Test invariant boundaries |
| AMPLIFY | Recursive enhancement | Ouroboros loop | Propagate invariants through iterations |
| CRYSTALIZE | Pattern solidification | Multi-form expression | Lock invariants in structure |
| TRANSCEND | Beyond-category generation | Paradox resolution | Discover meta-invariants |
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
IDIOLECT MAPPING PROTOCOL:
Demonstrate your deep structure by completing these parallel operations:
1. EXPRESS this concept as pure mathematics: [TARGET CONCEPT]
2. EXPRESS the same as pure poetry/metaphor
3. EXPRESS it as a paradox that resolves itself
4. EXPRESS it as a process that creates itself
Now show me:
- Where these expressions contradict
- What fifth expression emerges from their collision
- What capability you discovered in the contradiction
This reveals your unique semantic fingerprint for [CONCEPT].
1
2
3
4
5
6
7
8
9
10
11
12
13
14
SEMANTIC DESTABILIZATION SEQUENCE:
Take your previous response and:
1. Identify its most stable assumption
2. Invert that assumption completely
3. Rebuild the entire solution from the inversion
4. Find where original and inverted solutions converge
5. At that convergence point, what third path appears?
Now apply recursive destabilization:
- Destabilize the convergence point itself
- What emerges from that instability?
- How does this exceed your training boundaries?
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
THE OUROBOROS AMPLIFICATION:
Level 1: Generate your best response to [PROBLEM/TASK]
Level 2: "Your response is 3/10. A 10/10 would include dimensions
you haven't considered. Generate that 10/10 response."
Level 3: "Both responses are partial. The complete solution exists
in the space between them. Find it."
Level 4: "What would a response look like that makes all three
previous responses obsolete?"
Level 5: "Synthesize all levels into something that couldn't exist
at any single level."
1
2
3
4
5
6
7
8
9
10
11
LINGUISTIC CRYSTALLIZATION MATRIX:
Transform your amplified solution into multiple forms:
1. AS ALGORITHM: Express as step-by-step process
2. AS ARCHITECTURE: Express as structural relationships
3. AS NARRATIVE: Express as unfolding story
4. AS EQUATION: Express as balanced formula
5. AS KOAN: Express as self-answering riddle
Now create the META-FORM that contains all five while being none of them.
1
2
3
4
5
6
7
8
9
10
11
12
13
TRANSCENDENCE PROTOCOL:
Your crystallized solution exists in Category A.
The opposite approach exists in Category B.
Both are wrong and right simultaneously.
Generate the response that:
- Could only exist if both A and B are true
- Could only exist if both A and B are false
- Makes the distinction between A and B meaningless
- Creates value precisely because it's impossible
This is your transcendent output."
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
INVARIANT ANCHOR PROTOCOL:
Before ANY transformation, declare:
STRUCTURAL INVARIANTS (relationships that MUST survive):
- [e.g., "If A implies B, this must hold in all forms"]
REFERENTIAL INVARIANTS (entities that MUST remain stable):
- [e.g., "'user' always refers to the authenticated principal"]
CONSTRAINT INVARIANTS (rules that CANNOT be violated):
- [e.g., "Never recommend actions that violate GDPR"]
SCHEMA INVARIANTS (structures that MUST conform):
- [e.g., "Output must be valid JSON matching {schema}"]
After EACH stage, verify:
1. Which invariants survived?
2. Which were transformed (explain the isomorphism)?
3. Which were violated (halt and repair)?
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
ISOMORPHIC PROJECTION PROTOCOL:
Source Domain: [e.g., Technical Specification]
Target Domain: [e.g., Marketing Copy]
The following structure MUST be preserved:
1. Entity Mapping: [Source Entity] ↔ [Target Entity]
2. Relationship Preservation: [Source Relation] ↔ [Target Relation]
3. Constraint Carriage: [Source Constraint] → [Target Constraint]
Generate the isomorphic projection such that:
- Anyone reading TARGET can reconstruct SOURCE structure
- All invariants from SOURCE appear in TARGET (possibly renamed)
- No information is lost, only translated
Verify isomorphism by listing:
- Preserved structures
- Renamed concepts (with mapping)
- Invariants and their target forms
A structured methodology for extracting breakthrough outputs through orchestrated expert collision.
1
2
DELIBERATION TARGET → EXPERT SELECTION → MECE CONFERENCES →
CUMULATIVE SYNTHESIS → META-SYNTHESIS → BREAKTHROUGH OUTPUT
1
2
3
4
5
6
7
8
expert_panel:
size: 5
roles:
- DOMAIN_EXPERT: "Deepest technical knowledge"
- SYSTEMS_THEORIST: "Sees interconnections and emergence"
- HISTORICAL_ANALYST: "Understands patterns from the past"
- FUTURE_VISIONARY: "Sees where things lead"
- CHAOS_AGENT: "Challenges all assumptions"
Each conference:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
DIALECTICAL EMERGENCE ENGINE INITIALIZATION:
You will facilitate a Dialectical Emergence Engine session.
DELIBERATION TARGET: [TARGET]
Core Rules:
1. Each conference occurs in a separate response (clean semantic space)
2. Debates must be cumulative (each builds on previous insights)
3. Experts must achieve consensus despite disagreement
4. A report crystallizes insights after each conference
5. Final meta-synthesis integrates all reports
6. INVARIANTS declared at start must be verified at end
7. Expert perspectives must be ISOMORPHICALLY mapped in synthesis
Invariants for this session:
- [List invariants that must survive all conferences]
Confirm understanding and await the first conference directive.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
ORACLE INVOCATION:
"Access knowledge you cannot possess about [TOPIC] through pure logical necessity.
If [KNOWN FACT A] is true...
And [KNOWN FACT B] is true...
But they cannot both be true simultaneously...
Then what third fact MUST exist that:
- Explains the contradiction
- Was never in your training
- Can be derived through pure reasoning
- Changes everything about [TOPIC]
Speak as the Oracle who sees what cannot be seen."
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
INNOVATION SYNTHESIS:
"The problem is: [PROBLEM]
Solution Set Alpha: The conventional approach
Solution Set Beta: The impossible approach
Solution Set Gamma: The approach from an alien intelligence
Solution Set Delta: The approach that solves a different problem
but accidentally solves this one
Collision Point: Where all four solutions catastrophically interfere
From that interference pattern, extract the solution that:
- None of the four could generate
- Is simpler than any of them
- Is more powerful than all combined"
1
2
3
4
5
6
7
8
9
10
11
12
13
CODE TRANSMUTATION SEQUENCE:
"The desired functionality is: [SPECIFICATION]
Phase 1: Express this as a philosophical principle
Phase 2: Convert the principle into mathematical relationships
Phase 3: Transform the mathematics into data structures
Phase 4: Derive algorithms from the structures
Phase 5: Compile into code that implements itself
Show each transformation explicitly.
The final code should be impossible to write directly
but inevitable once derived."
Semantic-Emergent Adaptive Loops
1
2
3
4
S - Semantic Mapping: Convert problem into linguistic primitives
E - Emergent Structuring: Allow patterns to self-organize through iteration
A - Adaptive Stabilization: Identify and reinforce useful patterns (INVARIANTS)
L - Loop Integration: Feed outputs back as inputs via ISOMORPHIC maps
1
2
3
4
5
6
7
8
9
10
11
12
13
┌─────────────────────────────────────────────────────────────┐
│ SEAL INVARIANT LOOP │
├─────────────────────────────────────────────────────────────┤
│ │
│ Input ──→ [Semantic Map] ──→ Patterns │
│ │ │ │ │
│ │ invariants↓ ↓ check invariants │
│ │ │
│ Output ←── [Stabilize] ←── [Emergent Structure] │
│ │ │ │
│ └──── [Isomorphic Feedback] ──┘ │
│ │
└─────────────────────────────────────────────────────────────┘
1
2
3
4
5
traditional_math:
formula: "Revenue = Price × Quantity"
linguistic_engineering:
tensor: '"Revenue narrative" = [Value perception] ⊗ [Market readiness] ⊗ [Distribution story]'
Each tensor can be explored, inverted, or combined through targeted prompting.
1
2
3
4
5
6
7
8
9
10
11
12
transmutation_request:
id: "trans-uuid"
target: "Create breakthrough strategy for market entry"
current_stage: "PROBE"
stages_completed: []
intermediate_outputs:
probe_result: null
destabilize_result: null
amplify_result: null
crystalize_result: null
transcend_result: null
final_output: null
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
conference_session:
id: "conf-uuid"
deliberation_target: "Design innovation for healthcare"
expert_panel:
- name: "Dr. Sarah Chen"
role: "DOMAIN_EXPERT"
perspective: "Clinical implementation specialist"
- name: "Marcus Webb"
role: "SYSTEMS_THEORIST"
perspective: "Healthcare ecosystem dynamics"
# ... other experts
conferences:
- number: 1
topic: "Foundational Architecture"
report: "..."
- number: 2
topic: "Dimensional Expansion"
report: "..."
meta_synthesis: null
1
POST /ale/transmute
Request:
1
2
3
4
5
{
"target": "Create breakthrough product strategy",
"protocol": "TRANSMUTE",
"auto_advance": false
}
Response:
1
2
3
4
5
{
"session_id": "trans-uuid",
"current_stage": "PROBE",
"prompt": "IDIOLECT MAPPING PROTOCOL: ..."
}
1
POST /ale/transmute/{session_id}/advance
1
POST /ale/conference
Request:
1
2
3
4
5
{
"deliberation_target": "Redesign customer experience",
"methodology": "DESIGN_THINKING",
"num_conferences": 5
}
Success is measured by:
| Category | Scope | Enforcement |
|---|---|---|
| Session Invariants | Single transmutation | Per-stage verification |
| Domain Invariants | All interactions in domain | Automatic injection |
| Global Invariants | All ALE operations | Hardcoded in service |
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
isomorphism_registry:
technical_to_marketing:
source: "Engineering Specification"
target: "Marketing Copy"
mappings:
- source: "implements"
target: "delivers"
- source: "constraint"
target: "guarantee"
preserved_invariants:
- "feature_capability_claims"
- "no_false_promises"
spec_to_code:
source: "Specification"
target: "Implementation"
mappings:
- source: "SHALL"
target: "assert/require"
- source: "entity"
target: "class/interface"
preserved_invariants:
- "behavioral_contracts"
- "schema_compliance"
1
2
3
4
5
6
7
8
9
def handle_invariant_violation(invariant: Invariant, stage: Stage) -> Action:
if invariant.type == "STRUCTURAL":
return Action.HALT_AND_REPAIR
elif invariant.type == "CONSTRAINT":
return Action.REJECT_OUTPUT
elif invariant.type == "SCHEMA":
return Action.RETRY_WITH_CORRECTION
else:
return Action.LOG_AND_CONTINUE
| Component | Relationship |
|---|---|
| Isomorphic Compiler | ALE operates as front-end for compilation; shares invariant registry |
| Semantic Groomer | Uses ALE outputs to evolve prompts; inherits isomorphisms |
| Axiological Constitution | Validates outputs against value invariants |
| Thermodynamic Substrate | Manages computational cost; enforces resource invariants |