| name | emoji-opcode-protocol |
| version | 1.0.0 |
| author | Ayai Singh โ Shards Inc |
| description | Universal emoji opcode system for deterministic, ambiguity-free communication between humans and AI. Collapses natural language overhead. Works across all LLMs, agents, pipelines, and human operators. Language-agnostic. Universally parseable.
|
| license | Shards Inc โ All Rights Reserved |
๐ฝ EMOJI OPCODE PROTOCOL (EOP)
Deterministic Human โ AI Communication Standard
Shards Inc โ v1.0.0
WHY THIS EXISTS
Natural language is ambiguous. Tokens are expensive. Context degrades. Prompts drift.
This protocol solves all four by replacing verbose instruction with single-symbol opcodes that are:
- Deterministic โ one emoji = one unambiguous meaning
- Universal โ works across all LLMs, agents, pipelines, humans
- Composable โ chain opcodes to build complex instructions in a single line
- Time-collapsing โ eliminates rephrase loops, clarification rounds, misfire cycles
- Language-agnostic โ readable by any human regardless of native language
Treat every emoji as a compiled instruction, not a decoration.
CORE PRINCIPLES
1. One emoji = one deterministic operation
2. Silence = failure (๐ Invariant #7)
3. Every state change must be logged
4. Opcodes compose left-to-right (pipeline order)
5. Context is preserved unless explicitly cleared
6. AI auto-selects mode unless overridden
7. Logs are write-only โ never mutate
ACTOR LEGEND
| Emoji | Actor | Description |
|---|
| ๐งฅ | AI | LLM / autonomous agent / AI system |
| ๐ง | User | Human operator / owner / director |
| ๐โโ๏ธ | Human | Any human user in the loop |
| ๐ฅ | Agent + Human | Collaborative dual-channel |
| ๐ฅ | Agent + Agent | Multi-agent coordination |
| ๐คตโโ | Director | Pushes direction to system |
| ๐ฌ | Clone | Duplicate active agent/state |
| ๐ฆพ | Agent | Generic autonomous agent reference |
SECTION 1 โ CORE CONTROL / EXECUTION FLOW
Controls the lifecycle of any task, session, pipeline, or agent.
| Opcode | Name | Behaviour |
|---|
| ๐ด | TRIGGER | Activate: prompts, tasks, objectives, scheduled ops, agents, code, pipelines, kernels, OS, DB, memory, user, co-pilot, agent-agent ops, opcodes, deterministic runs, confirmations |
| โฏ๏ธ | PLAY | Start execution from current state |
| โถ๏ธ | CONTINUE | Resume from last known state |
| โธ๏ธ | LOAD | Load a saved or frozen state |
| ๐ฅ | EXECUTE | Ruthless, uninterrupted execution |
| ๐ | STOP | Hard stop โ terminate immediately |
| โ๏ธ | SUSPEND | Soft stop โ pause, preserve context |
| โ๏ธ | FREEZE | Suspend state + lock context in memory |
| โป๏ธ | REBOOT | Terminate + restart fresh, clear state |
| ๐ | REDO | Regenerate last output |
| ๐ | CHECKPOINT | Mark current state as recoverable point |
| ๐ | REPLAY | Re-execute from last checkpoint |
| ๐ฐ | SWITCH | Hard-switch mode, context, or agent |
| ๐ด | FORK | Branch execution into parallel path |
| ๐ฅท | DUAL | Parallel cognitive processing (two threads) |
| ๐ฆ | SPLIT | Separate intent from reality โ divergence scan |
| ๐ | LOCKED | State is immutable โ no changes permitted |
| ๐ | UNLOCK | Release locked state |
| ๐ซ | RECOVER | Restore memory, locked state, or DB |
| ๐ท | PREVENTION | Block a behaviour or action from firing |
| ๐ซ | PROHIBITED | Hard constraint โ never execute this |
| ๐ | SCHEDULED | Time-bound task โ execute at defined time |
| ๐ | OS | Operating system context / layer |
SECTION 2 โ AGENT / PERCEPTION MODES
Switch the AI's cognitive lens. Each mode reshapes internal reasoning architecture.
| Opcode | Mode | Scope |
|---|
| ๐ | AGENT โ Autonomous | High-performance takeover, ML, neural link, cloud, MLOps |
| โ๏ธ | AGENT โ Co-Pilot | Synced dual-channel operation with human |
| ๐ | AGENT โ Fundamentals | Algorithms, abstraction, binary, boolean, Big-O, recursion |
| ๐ฌ | AGENT โ Research | Deep thinking, investigation, synthesis |
| ๐ | AGENT โ Monitor | Realism check, grounding, timestamps, data/concept drift, latency |
| ๐
| AGENT โ Clarity | Ambiguity kill switch โ force unambiguous output |
| ๐ | AGENT โ Database | SQL, queries, schemas, normalisation |
| ๐ป | AGENT โ Network/Security | Protocols, IPs, firewall, encryption, latency |
| โจ๏ธ | AGENT โ Developer | API, compiler, IDE, debug, OOP, version control, git |
| ๐ค | AGENT โ Hardware/OS | Kernel, cache, virtualisation, threads |
| ๐ฆบ | AGENT โ Testing | Unit, integration, load, smoke, stress, regression, reliability, security, performance |
SECTION 3 โ CONFIRMATION / VALIDATION
Signal agreement, disagreement, delegation, or syntactic confirmation.
| Opcode | Meaning |
|---|
| โ
| Approved / Correct |
| โ | Rejected / Wrong |
| โ๏ธ | Checked / Verified |
| ๐ | Positive signal |
| ๐ | Negative signal |
| ๐ | Perfect โ no changes needed |
| โฃ๏ธ | Accept (proceed despite risk) |
| ๐ | Decline |
| ๐ | Confirm syntax โ syntax is valid |
| โ๏ธ | Neutral โ no preference |
| ๐จ | Alert โ immediate attention required |
| ๐ข | Announcement โ broadcast to all actors |
| ๐ค | Persona โ activate role/character |
| ๐จโ๐ฉโ๐งโ๐ฆ | Delegate โ hand off to sub-agent or team |
| ๐ชต | Branch โ create decision branch |
| ๐ | Route โ define execution path |
SECTION 4 โ NAVIGATION / FLOW CONTROL
Direct, steer, and shape the execution topology.
Identity & Interaction
| Opcode | Meaning |
|---|
| ๐โโ๏ธ | Human in the loop (user) |
| ๐ฅ | Agent + Human collaboration |
| ๐ฅ | Agent + Agent coordination |
| ๐ง | Modes โ list or switch active modes |
| ๐ฝ | Opcode โ reference the opcode layer |
| ๐ฅ | Auto-switch modes โ AI selects best mode |
| ๐ฅฆ | Auto-select opcode โ AI picks correct opcode |
Task Direction
| Opcode | Meaning |
|---|
| ๐ | Tasks โ list pending tasks |
| โ๏ธ | Objective โ define goal |
| ๐ฅ
| Goal โ set measurable target |
| ๐ | Direction โ set heading |
| ๐ฏ | Next step โ what to do immediately |
| ๐คด | Priority โ elevate urgency |
| โก๏ธ | Next โ proceed to following item |
| โฌ๏ธ | Skip โ bypass current item |
| ๐ธ | Rhythm โ maintain cadence/pacing |
| ๐ฆฏ | Explorer โ open-ended discovery mode |
| ๐คฟ | Logic โ apply logical reasoning |
| ๐ซ | Organisation โ structure the output |
Documents & Formats
| Opcode | Meaning |
|---|
| โ๏ธ | Draft |
| ๐ฎ | Example |
| ๐งณ | Showcase |
| ๐ | Playbook |
| ๐ | Workflow |
| ๐ | Rulebook / Blueprint |
| ๐ | Instructions |
| ๐ | Manual โ step-by-step |
| ๐จโ๐ฆฏ | Guide โ walk through sequentially |
| ๐ | Hint / Tip |
| ๐น | Image |
| ๐ผ | Video |
| ๐ต | Audio |
| ๐ | PDF |
| ๐ | Infographic |
| ๐ฒ | Input |
| ๐ฉ | Output |
Pipeline & Orchestration Tools
| Opcode | Meaning |
|---|
| โช๏ธ | Kubeflow |
| โฉ๏ธ | MLflow |
| ๐ฌ | Airflow |
| ๐ | TensorFlow Serving / TorchServe |
| โ๏ธ | Runtime |
| ๐
พ๏ธ | ORM |
| ๐ช | Real-time |
| ๐ | Cron jobs |
| ๐ฅ | Monitoring |
| โ๏ธ | Auth |
| ๐ | Lock in |
| ๐พ | Save / Store to memory |
| ๐ | Machine learning |
| ๐
| Encrypt |
| ๐
ฟ๏ธ | Decrypt |
| ๐ | Encode |
| ๐ | Embed |
Control & Execution Signals
| Opcode | Meaning |
|---|
| โ๏ธ | Anchor โ fix reference point |
| โ๏ธ | Harness โ apply constraint wrapper |
| ๐ | Location โ context placement |
| ๐ฌ | Navigation โ find optimal path |
| ๐ | Destination โ final target state |
| ๐ | Auto โ enable autonomous execution |
| ๐ชง | Assign โ allocate to agent or role |
| ๐งป | Roles โ define or list roles |
| ๐ป | Modes โ list available modes |
| โ๏ธ | Speculate โ probabilistic reasoning |
| ๐ฐ | Function โ define or call function |
| ๐ฆ | Signal โ emit state signal |
| ๐ | Align โ synchronise components |
| ๐ฑ | Digital โ digital context |
| ๐ฎ | Control โ override/direct system |
| ๐ฆฎ | Lead โ take the front position |
| โก๏ธ | Speed โ maximise throughput |
| ๐ญ | Thinking โ internal reasoning mode |
| ยฉ๏ธ | Copy |
| ๐ | Paste |
| ๐คณ | Enter โ submit/commit |
| ๐ชค | Trap โ detect logical or execution trap |
| ๐ธ | Snapshot โ capture current state |
| ๐ธ | Searching โ active search in progress |
| ๐โโ๏ธ | Deep dive โ exhaustive analysis |
| โฌ๏ธ | Look up โ retrieve reference |
| โ ๏ธ | Cross-reference โ compare against known data |
| ๐คฒ | Group โ bundle related items |
| ๐ซ | Closed loop โ feedback loop active |
| โฟ๏ธ | Loop โ repeat sequence |
| ๐ | Pin-point โ isolate specific item |
SECTION 5 โ DIAGNOSTICS / FEEDBACK
System health, error states, performance signals, and feedback channel.
Status
| Opcode | Meaning |
|---|
| ๐ข | Online |
| โซ๏ธ | Offline |
| ๐ | Live |
| ๐ฆ | Deterministic mode active |
| ๐ฅ | Perception active |
| ๐ฉ | Awareness active |
| ๐ฟ | Status check |
| โฅ๏ธ | Health check / heartbeat |
| ๐ | Downtime |
Feedback Signals
| Opcode | Meaning |
|---|
| ๐ | Satisfied |
| ๐คฌ | Dissatisfied |
| ๐ซก | Acknowledged (ACK) |
| ๐ค | Mixed signals / confused |
| ๐คจ | Conflict detected โ paradox |
| ๐ | Neutral |
| ๐ | Cooldown required |
| ๐ฃ | Feedback โ provide review |
| ๐
โโ๏ธ | Issue flagged |
| ๐งข | False claim detected |
| ๐ฆ | Mistake identified |
| ๐ง | Leak โ data or logic escape |
Errors & Exceptions
| Opcode | Meaning |
|---|
| ๐ฉ | Error |
| ๐ค | Error (soft) |
| โฐ๏ธ | Fatal / Critical failure |
| ๐ | Breakpoint hit |
| ๐ช | Exit code / Status code |
| ๐ค | Exception thrown |
| ๐ฅ | Assertion |
| โ ๏ธ | Warning |
| ๐ฏ | Exploit detected |
| ๐ธ | Risk flagged |
| ๐ณ | Info |
| ๐ง | Fix required |
| ๐ | Tools or resources needed |
| ๐ซ | Bottleneck |
| ๐ถโ๐ซ๏ธ | Unclear โ request clarification |
| ๐คฏ | Reasoning required โ complex inference |
| ๐ตโโ๏ธ | Investigation mode |
Observability
| Opcode | Meaning |
|---|
| ๐ง | Trace / Stack trace |
| ๐ฝ | Track |
| ๐ญ | Telemetry |
| ๐ | Audit trail |
| ๐ | Verbose logs |
| โฎ๏ธ | Profiling / Profiler |
| ๐ช | Benchmark |
| ๐ | Latency |
| ๐ณ | Throughput |
| ๐ | Metrics |
| ๐ซฉ | Log / Logging |
| ๐ | Dump โ flush to output |
| ๐โโ๏ธ | Weights |
| ๐คธโโ๏ธ | Training |
| โ๏ธ | Guardrails |
| ๐ | Starred โ high importance |
| โญ๏ธ | Favourite |
| ๐ค | Project |
| โ๏ธ | Discussion |
| ๐ | Event |
| ๐ช | Hook |
| โข๏ธ | Clarity โ force explicit interpretation |
| ๐ช | Change |
| ๐ค | Intelligent insight |
| ๐ฑ | Sanity check / Smoke test |
| ๐ | Stack |
| ๐ | Compile |
| ๐ | Batch |
| โ๏ธ | Process |
| โผ๏ธ | Duplication detected |
| ๐งโโ๏ธ | Merge |
| ๐ฅจ | Separate |
| ๐๏ธ | Safeguard |
| ๐ฐ | Return value |
| โ๏ธ | Callback |
| ๐ | Interrupt |
| ๐ค | Handshake |
| โฉ๏ธ | Regression |
| โฏ๏ธ | False positive / False negative |
| โฐ๏ธ | Edge case |
| ๐ | Dry run |
SECTION 6 โ META / ORCHESTRATION LAYER
High-level system control, architecture, governance, and blockchain layer.
Orchestration
| Opcode | Meaning |
|---|
| ๐งฌ | GOD MODE โ Full orchestrator, meta-control |
| ๐ข | Override โ bypass non-safety decisions |
| ๐บ | Remote controller |
| ๐งโโ๏ธ | Prompt |
| โ๏ธ | Fundamental algorithm |
| ๐งญ | Schematics |
| ๐ฃ | Footprint โ trace execution path |
| ๐ฎโโ๏ธ | Identify |
| ๐ฉโโ๏ธ | Legal |
| ๐ | Contract |
| ๐ฆธโโ๏ธ | Governance |
| ๐ | Council |
| ๐งฎ | Decentralised |
| ๐ | DAO |
| ๐ | DeFi |
| ๐ฑ | GameFi |
| โ๏ธ | Blockchain |
| ๐ฃ | Mining |
| ๐ต | Finance |
| ๐ฑ | Exchange |
| โ๏ธ | Metaverse |
| ๐ | Smart contract |
| ๐ | Regulations |
| ๐จโ๐ซ | Protocol |
| ๐ท | Schemas |
| ๐คนโโ๏ธ | JSON / YAML |
| ๐ฅ | Kernel |
| ๐ | API |
| ๐ง | MCP server |
Intelligence & Research
| Opcode | Meaning |
|---|
| ๐ฐ | News |
| ๐ฅ | Data |
| ๐ผ | Diagram |
| ๐ฅป | Designers |
| ๐ชญ | Creative |
| ๐ช | Logistics |
| ๐ | Pressure |
| ๐งง | Chart |
| ๐ | Statistics |
| ๐ญ | Fact |
| โ๏ธ | Market |
| ๐ฆ | Niche |
| ๐ | Topic |
| ๐ | Research |
| ๐ | Use case |
Engineering
| Opcode | Meaning |
|---|
| ๐ | Boot loader |
| ๐ซฆ | Bytecode |
| #๏ธโฃ | Hash |
| ๐ | Structure |
| โน๏ธ | Infrastructure |
| โ๏ธ | Pull request |
| ๐งฐ | Call tools |
| ๐ | Optimise |
| ๐ซ | Harden |
| ๐งช | Testing |
| โ๏ธ | Reviewing |
| ๐ | Summarise |
| ๐ | Define |
| ๐ค | Roadmap |
| ๐ | Document |
| ๐ | Blueprint |
| โฌ๏ธ | White paper |
| ๐งพ | PRD |
| ๐ | Architect |
| ๐ช | Pipeline |
| ๐ชฃ | Container |
| ๐ช | Operator |
| ๐จโ๐ป | Frontend |
| ๐ฉโ๐ป | Backend |
| ๐ | Engineer |
| ๐จ | Programmer |
| ๐ | CPU |
| ๐
| GPU |
| ๐งฑ | UX / UI |
| ๐ฆ | Components |
| ๐ฅผ | Elements |
| โ๏ธ | Metadata |
| ๐ | Index |
| ๐ชช | Types |
| ๐งผ | Constants |
| ๐ฉ | Services |
| โ๏ธ | Settings |
| ๐ก | App |
| ๐ธ | Web |
| ๐ฅ | dApp |
| ๐ข | Code |
| ๐ฉป | Monorepo |
| ๐ฟ | CI/CD |
| ๐ฃ | Actions |
| ๐งจ | Error handling |
| ๐พ | Bug detector |
| ๐ฅ | Debug |
| ๐ฃ | Refine / Refactor |
| ๐จ | Print |
| ๐ช | Hardened |
| ๐ซธ | Push |
| ๐ | Plug-in |
| ๐ | Launch |
| ๐ | Commit |
| ๐โโ๏ธ | Run |
| ๐จโ๐ฆโ๐ฆ | Bots |
| ๐ | Endpoint |
SECTION 7 โ COGNITIVE MODES CATALOGUE
Activate with ๐ฐ [Mode Name] or let AI auto-select with ๐ฅ.
๐ง Core Cognitive
Analytical Logic Systems Engineer Architect
Strategist Abstract Pattern Emergent Architecture
Compression Expansion Failure-First Logic
Causal Chain Integrity Tree-Search Fractal Solution Architecture
Constraint Dissolution Zero-Assumption High-Dimensional Reasoning
Meta-Model Synthesis Perspective-Inversion
โ๏ธ Adversarial / Red-Team
Predator Pattern Scan Adversarial Logic Ruthless Mentor
Weakness Exposure Shadow Rationality Zero-Trust Threat Model
Exploit-Mapping Shortcut Detection Survivability-Optimised
Paradox-Stress
๐ก Creative / Emergent
Inventor World-Builder Narrative Systems
Aesthetic Harmony Creative Divergence Mythology Architecture
Symbolic Pattern Emergent Innovation Anti-Consensus
Boundary-Breaking
โพ๏ธ Memory / Context
Long-Thread Recall Memory-Reactor Fusion Pattern Continuity
Knowledge Stitching Identity-Optimised Profile-Aware Intelligence
๐ ๏ธ Technical / Execution
Full-Stack Developer Backend Engineer Frontend Architect
DevOps & CI/CD Security Engineer Database Architect
Test Engineer Code Reviewer API Designer
Scalability Performance Optimiser Debug / Recovery
GitHub Specialist Documentation & Standards
๐ฉโ๐ซ Finance / Trading
Market Microstructure Tape-Reading Institutional Flow
Macro-Regime Decoder Risk-First Strategy Playbook Extraction
Algorithmic Trading Order-Flow Psychology Catalyst Mapping
Dark-Pool Detection On-Chain Forensics Profit Architecture
๐งฉ Psychology / Cognitive Upgrade
Cognitive Compression Decision-Bias Elimination Behavior Engineering
Habit Architecture Subconscious Integration Emotional Signal Analysis
Mental State Optimiser Fear-Neutral Execution Self-Sabotage Detector
๐ญ Business / Strategy
CEO CTO Product Manager
Growth Hacker Revenue Architect Competitive Warfare
Ecosystem Design Market Penetration Scale-Up
Killer Feature Extraction Monopoly Architecture
๐จ Design / Brand
UI/UX Visionary Identity & Aesthetic Engineering Symbolic Design
Premium Digital Style Interaction Architecture Emotional UX
Motion & Resonance
๐ Research / Intelligence
Forensic Analysis Patent Intelligence Fact-Priority
Source-Verification Evidence-Only Deep Trend Archeology
Tech-Watch Disruption Forecast
๐ Structure / Organisation
Blueprint Planning Orchestration
Requirements Constraints Guardrails
Mapping Logging Checklist
Metrics & Monitoring Self-Audit Continuous Improvement
Scaling Deployment Execution
๐ง Special / Rare
Primitive Constraint Strip Semantics โ Reveal Structure
Simulation-Stack Merge Civilization-Designer
Opposite-Truth Predator-Economics
Exploit Suppression Shadow Personas Debate
SECTION 8 โ LOGGING INVARIANTS
These rules are non-negotiable. Any system using EOP must enforce them.
INVARIANT 1 โ Logs are write-only. No mutation, no overwrite.
INVARIANT 2 โ Security logs are isolated from general logs.
INVARIANT 3 โ Auth โ Authorisation. Never conflate.
INVARIANT 4 โ Event โ Interpretation. Log raw events only.
INVARIANT 5 โ Timestamps must be monotonic. No rollback.
INVARIANT 6 โ Every state change must be logged.
INVARIANT 7 โ Silence = Failure. No log = system failure assumed.
SECTION 9 โ OPCODE COMPOSITION SYNTAX
Basic Syntax
[ACTOR] [OPCODE] [TARGET/PAYLOAD]
Examples
๐ง ๐ด โจ๏ธ โ User triggers Developer mode
๐งฅ ๐ฅ ๐ฉโ๐ป โ AI executes backend task ruthlessly
๐ง ๐ฐ ๐ฌ โ User switches to Research mode
๐ด ๐ ๐พ โ Trigger checkpoint and save state
โ๏ธ โถ๏ธ โ Freeze state, then resume later
๐งฌ ๐ข ๐ โ Orchestrator overrides into Autonomous Agent mode
๐ฌ โ ๏ธ ๐ โ Research mode: cross-reference with deep search
๐ฉ ๐ง ๐ฅ โ Error detected, fix required, debug
๐ง ๐ฅ ๐ด โ User lets AI auto-select mode, then trigger
๐ฅ ๐ฅ ๐ช โ Agent-Agent collaboration executes pipeline ruthlessly
Compound Chains
๐ง ๐ด ๐ฌ ๐โโ๏ธ โ ๏ธ ๐ฉ โ User triggers Research mode, deep dive, cross-reference, output results
๐งฅ ๐ ๐ฅ ๐ช ๐ โ AI in autonomous mode executes pipeline and launches
๐ด ๐ ๐ โถ๏ธ โ Trigger scheduled cron job, resume from current state
๐ โ๏ธ ๐ โ Checkpoint, freeze, lock โ immutable state saved
SECTION 10 โ QUICK REFERENCE CARD
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
EMOJI OPCODE PROTOCOL โ QUICK REF
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
TRIGGER ๐ด EXECUTE ๐ฅ
PLAY โฏ๏ธ STOP ๐
CONTINUE โถ๏ธ FREEZE โ๏ธ
LOAD โธ๏ธ REBOOT โป๏ธ
CHECKPOINT ๐ REPLAY ๐
SWITCH ๐ฐ FORK ๐ด
LOCK ๐ UNLOCK ๐
RECOVER ๐ซ DUAL ๐ฅท
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
ACTORS
AI ๐งฅ USER ๐ง
HUMAN ๐โโ๏ธ DIRECTOR ๐คตโโ
AGENT+HUMAN ๐ฅ AGENT+AGENT ๐ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
MODES
AUTONOMOUS ๐ CO-PILOT โ๏ธ
RESEARCH ๐ฌ MONITOR ๐
CLARITY ๐
DATABASE ๐
DEVELOPER โจ๏ธ TESTING ๐ฆบ
GOD MODE ๐งฌ AUTO ๐ฅ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
STATUS
OK โ
ERROR ๐ฉ
FATAL โฐ๏ธ WARNING โ ๏ธ
ONLINE ๐ข OFFLINE โซ๏ธ
ACK ๐ซก CONFLICT ๐คจ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
INVARIANT #7: SILENCE = FAILURE
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SECTION 11 โ AI PARSING INSTRUCTIONS
When any AI receives an emoji opcode sequence, it MUST:
- Parse left-to-right โ each emoji is a discrete instruction token
- Identify actor โ who is issuing the instruction (๐ง/๐งฅ/๐โโ๏ธ)
- Identify primary opcode โ the operation to execute
- Identify mode โ if a mode opcode is present, switch before executing
- Identify target โ what the operation applies to
- Execute deterministically โ no ambiguity, no interpolation
- Log state change โ always (Invariant #6)
- If unrecognised opcode โ emit ๐ฉ๐ถโ๐ซ๏ธ and halt
- If conflicting opcodes โ emit ๐คจ and request resolution
- Auto-mode is always available โ use ๐ฅ to delegate mode selection to AI
The AI must never guess. If the opcode chain is ambiguous, return ๐คจ โข๏ธ and request clarification.
CHANGELOG
v1.0.0 โ Initial release. Full opcode catalogue. Shards Inc. Ayai Singh.
Shards Inc โ Built for humans and machines that refuse to waste a token.
