Own Physical Intelligence: Introducing Expert AI Terminal

Own Physical Intelligence: Introducing Expert AI Terminal

AIR-GAPPED DIGITAL BRAIN FOR R&D, CLAUDE CODE & CODEX ALTERNATIVE

Reading time 29 min read

Advanced Agentic LLM terminal via USB with Rigorous Domain Expertise. Includes 5 agents, 33 tools, on demand support, prepaid usage of 200+ Frontier American, European and Chinese AI models. Persistent long term memory out of the box without sign up.


Code, build, improve at affordable cost and lower carbon footprint.

Use 5+ agents at once, Built for business executives, researchers and engineers.

Save time, reduce errors and improve speed.

Own Physical Intelligence

Advanced Agentic LLM Terminal

"Code, build, improve at affordable cost and lower carbon footprint. Use 5+ agents at once. Built for business executives, researchers and engineers."

🧠

Multi-Model Intelligence

Access 200+ AI models across major providers with a unified interface and no vendor lock-in. Switch mid-workflow without data loss.
  • Open-AI (GPT-4o, GPT-4, GPT-5.5)
  • Anthropic (Claude Haiku, Sonnet, Opus)
  • Google (Pro/Flash)
  • Meta (Llama 3.1, Llama 3)
  • Mistral (Large, Medium, Small)
  • 100+ open-source models via Open-Router, Hugging Face, Modal or Run Pod
  • Pay-as-you-go pricing with no long-term contracts
🔒

Zero Data Retention Architecture

Unlike cloud-only AI services, Expert AI Terminal guarantees full asset protection and deep sovereignty natively.
  • Zero data retention — queries aren't stored or used for training
  • Full data sovereignty — proprietary data never leaves your machine
  • Local-first capability — 30-second setup with USB, no sign-in required
  • Offline operation — continue working safely without internet connectivity
💾

Persistent Long-Term Memory

AI that remembers you and grows systematically alongside your continuous structural projects out of the box.
  • Deep knowledge graphs that retain context across sessions
  • Contextual recall improves with every interaction
  • Automatic knowledge graph generation from research
  • Project history and research continuity without manual prompting
  • Cross-session context retention across weeks and months
🤖

5-Agent Multi-Agent Engine

Delegate complex, layered workflows to highly specialized agent structures working in parallel pipelines seamlessly.
  • Coordinated through your central terminal environment
  • Forked contexts for isolated validation
  • Parallel execution architectures across workflows
  • Advanced agentic multi-agent orchestration engines
🔌

Physical Intelligence via USB

Your AI engine that travels directly with you everywhere. Plug-and-play engineering configuration layout.
  • Plug-and-play USB installer — no complex setup needed
  • Portable across machines without reconfiguration
  • Persistent environment parameters on removable media
  • Optional local model execution (free forever, no cloud costs)
  • Full terminal environment with dependencies pre-configured

🏆 Recognized Excellence — How Expert AI Terminal Compares

Feature Expert AI Terminal Generic AI Tools Enterprise Solutions
Multi-Model Access ✓ Full Support — Not Available ✓ Full Support
Local-First Architecture ✓ Full Support — Not Available — Not Available
Persistent Memory ✓ Full Support — Not Available ✓ Full Support
Research Paper Access ✓ Full Support — Not Available — Not Available
AEC-Specific Tools ✓ Full Support — Not Available — Not Available
API & Automation ✓ Full Support — Not Available ✓ Full Support
Zero Data Retention ✓ Full Support — Not Available ✓ Full Support
Pay-As-You-Go Pricing ✓ Full Support ⚠️ Limited — Not Available
Obsidian Integration ✓ Full Support — Not Available — Not Available
Affordable Entry Price ✓ Full Support ⚠️ Limited — Not Available
Core Execution Frameworks

Six Core Use Cases

Expert AI Terminal is a unified intelligence system for coding, research, workflows, and AI-powered productivity combining 33+ specialized tools into a single terminal interface.

Use Case 01

Software Development

Full-stack code generation, debugging, testing, and optimization across all major structural systems.
  • Multi-Language Support: Python, JavaScript, TypeScript, Rust, Go, Java, C++, C#, PHP, Ruby, Swift, Kotlin, and more
  • Real-time debugging, error analysis, and stack trace interpretation
  • Code review, refactoring suggestions, and performance optimization
  • Automated test generation, coverage analysis, and edge case detection
  • Documentation auto-generation from code and structural docstrings
Use Case 02

Academic Research

10,000+ doctoral papers with semantic search, synthesis, and reproducibility verification algorithms.
  • Full-text paper search with semantic understanding and relevance ranking
  • Literature review synthesis across multiple papers and research areas
  • Citation management, provenance tracking, and reference validation
  • Paper-to-code audit: compare claims against public codebases
  • Reproducibility verification and methodology assessment paradigms
Use Case 03

Architecture & Engineering

BIM workflows, design formulas, spatial analysis, and technical documentation for AEC professionals.
  • Design formula library (MathBook integration) with structural calculations
  • BIM data analysis, optimization, and clash detection
  • Building code compliance checking and regulatory verification mapping
  • Spatial analysis, visualization, layout optimization, and generative design
  • Note: Architects and engineers have the longest screen time in offices after computer science professionals—Expert AI Terminal serves both with equal depth
Use Case 04

Knowledge Management

Obsidian integration with persistent memory, graph visualization, and absolute contextual recall parameters.
  • Obsidian vault sync with real-time graph visualization engine
  • Persistent memory across sessions with multi-week context retention
  • Automated note linking and bidirectional backlink frameworks
  • Canvas workspace for visual thinking and structured mind mapping
  • Universal search across all markdown collections and structural systems
Use Case 05

Data Analysis

CSV, JSON, Excel, and SQL tracking with statistical analysis, automated reporting, and layouts.
  • Multi-format data import: CSV, TSV, JSON, JSONL, Excel, SQL, Parquet
  • Statistical analysis, modeling, and automated hypothesis testing
  • Interactive visualization generation natively via Vega-Lite structures
  • Automated report generation built out with embedded charts and summaries
  • Data cleaning, transformation, and multi-format normalization tracks
Use Case 06

Content Creation

Writing, advanced editing, and professional communication with multi-language formatting features.
  • Email and message drafting with real-time tone adjustment engines
  • Technical documentation and API reference structure generation
  • Content editing, proofreading, and advanced style refinement rules
  • Markdown and LaTeX support tracking with deep mathematical formatting
  • Multi-language support and international translation assistance maps
Command Line Index

Core Capabilities — 33+ Specialized Tools

Deep structural commands mapped across system runtimes for executing complex technical automation.

Research & Academic
Deep Research (/deepresearch)
Multi-source investigation with cited briefs and provenance tracking. Combines web search, academic papers, and code repositories.
Research & Academic
Literature Review (/lit)
Comprehensive paper surveys with state-of-the-art analysis, landscape mapping, and trend identification across 10,000+ papers.
Research & Academic
Alpha Research (/alpha-research)
Direct integration with alphaXiv/arXiv for semantic paper search, AI-generated reports, and code repository access.
Research & Academic
Paper Code Audit (/paper-code-audit)
Verify reproducibility by comparing paper claims against public codebases. Identify implementation mismatches.
Research & Academic
Peer Review (/peer-review)
Simulate tough but constructive peer review of research artifacts—identify weaknesses and improve rigor.
Research & Academic
Replication (/replication)
Plan and execute paper replications with methodology documentation, benchmark verification, and validation.
Software & Workflows
Full-Spectrum Engineering (/code)
Multi-language code optimization engine supporting Python, JS, TS, Rust, Go, C++, C#, Java, and more.
Software & Workflows
Agentic Workflows (/pi-subagents)
Advanced subagent orchestration with single, chain, parallel, and async workflows using forked contexts.
Specialized Domain
Expert AEC Terminal
Purpose-built for the AEC industry: BIM Assistance (Revit/Rhino), MathBook calculations, and building code compliance checking.
Cloud Compute
Modal Compute (/modal-compute)
Serverless GPU workloads for ML training, inference, and batch processing pipelines seamlessly.
Cloud Compute
RunPod Compute (/runpod-compute)
Persistent GPU pods for long-running experiments with SSH access and large datasets.
Cloud Compute
Docker Execution (/docker)
Sandboxed code execution for safe replication, experiments, and benchmarks without environment contamination.
Code Intelligence
Code Intelligence (/librarian)
Research open-source libraries with evidence-backed answers and GitHub permalink citations for every claim.
Document Intelligence
Document Parse (/parse-document)
Multi-format structural extraction tracking OCR for PDFs, Office documents, spreadsheets, layout preservation images, and slide files.
Knowledge Management
Second Brain (/lib, /libsearch)
Obsidian Integration: Automatic vault sync with YAML metadata, SQL-indexed vault search, and Canvas workspaces.
Utility & Management
ELI5 Mode (/eli5)
Explain complex research, papers, or technical concepts in plain English with minimal jargon.
Utility & Management
Task Automation (/schedule-prompt)
Schedule prompts to run at specific times or recurring intervals for ongoing literature tracking.
Utility & Management
Persistent Memory System
Track memory parameters across modules natively with Memory Search, Remember, and Stats parameters.
Input Specifications

Supported File Formats

Native verification engines configured to parse complex technical files automatically.

💻

Code & Configuration

  • .py, .js, .ts, .jsx
  • .tsx, .rs, .go, .java
  • .cpp, .c, .cs, .php
  • .rb, .swift, .kt, .sh
  • .json, .yaml, .toml, .sql
📄

Documents & Text

  • .md, .markdown
  • .pdf (with OCR)
  • .docx, .doc
  • .txt, .rtf
  • .tex, .latex, .odt
📊

Data & Spreadsheets

  • .csv, .tsv
  • .xlsx, .xls
  • .json, .jsonl
  • .sql, .db
  • .parquet, .arrow
🖼️

Images & Research

  • .png, .jpg, .jpeg, .gif
  • .webp, .tiff, .bmp, .svg
  • .pptx, .ppt, .odp
  • arXiv research papers
  • Zotero / BibTeX files
Practical Frameworks

Use Cases by Role & Workflow Examples

Explore how multi-disciplinary engineers run end-to-end terminal prompts to bypass standard communication bottlenecks.

Target Roles

Target Personas

  • Business Executives: Research market trends with cited briefs and perform due diligence with source verification.
  • Researchers & Grads: Automate systematic reviews (/lit) and run paper-to-code structural validation audits.
  • Software Engineers: Deep architectural decision tracking (/deepresearch) with library implementation analytics.
  • ML/AI Engineers: Verify paper implementation parameters and establish Modal/RunPod GPU runtimes.
  • AEC Professionals: Execute BIM computational automation scripts, building code compliance, and structural tracking.
Example 01

Research-Driven System Design

/deepresearch "CQRS pattern trade-offs in microservices 2024"
→ 50+ sources analyzed, cited brief generated

/lib "how does EventStoreDB implement event sourcing"
→ Source code analysis with GitHub references

/code "generate Node.js CQRS example with EventStoreDB"
→ Full implementation with tests

write_to_obsidian
→ Decision document in vault, linked to ADR
Time saved: 6 hours | Quality: Production-ready with citations
Example 02

Academic Literature Survey

/lit "distributed consensus algorithms post-Paxos"
→ 10,000+ papers scanned, synthesis generated

/peer-review "analyze my consensus survey for methodology"
→ Critical feedback, gaps identified

/paper-writing "draft introduction section"
→ Academic formatting with citations

write_to_obsidian
→ Structured survey in vault with backlinks
Time saved: 3 days | Quality: Submission-ready
Financial Parameters

Pricing Plans & Context Scale

Massive Context Windows and Unlimited Throughput with no rate limits or usage caps. Designed for intensive research and development workflows.

Starter Plan

Free Tier — $0 / month

Start with essential knowledge management and localized system access tracks.
  • ✅ Doctoral-grade Research Archive (10,000+ papers)
  • ✅ Members-only knowledge graphs
  • ✅ MathBook for design formulas
  • ✅ Digital Gallery & Collections
  • ✅ Maps & Spatial Explorer
  • ✅ Universal Search in Archive
  • ✅ Canvas Workspace
  • ✅ Free forever local AI models (no cloud costs)
  • ✅ Basic Obsidian integration
Complete Package

Flagship — $150 one-time + $36/month

The complete Expert AI Terminal with dedicated hardware routing and full capabilities execution.
  • ✅ Train AI on your proprietary data (local, private)
  • ✅ Deep knowledge & persistent memory infrastructure
  • ✅ Free forever local AI models
  • ✅ Obsidian Graph Access & Sync
  • ✅ Installer USB (plug-and-play removable media)
  • ✅ Dedicated onboarding & priority support tracks
  • ✅ Unlimited AI deployment structures
  • ✅ Usage-based pricing for cloud models
  • ✅ 200+ frontier AI model access & 5-agent multi-agent workflows
  • ✅ All 33+ research and development tools natively unlocked

Supported Payment Methods

Razorpay (For Indian customers) ◆ PayPal (For international customers)

Start Free →
Documentation

Frequently Asked Questions

Clear structural responses mapping queries across compliance, operations, hardware, and billing architecture layers.

Q: Can I cancel my subscription?
Yes. Cancel anytime from your account portal. No long-term contracts or hidden fees. The Expert AI Terminal one-time setup fee ($150) is non-refundable but grants lifetime software access.
Q: What does the $150 one-time fee include?
Includes lifetime software access, free forever local AI models (no cloud costs), native Obsidian integration, optional Installer USB for portable deployment, and priority support. Monthly fees ($36) cover cloud features, model usage, and maintenance.
Q: Can I train AI on my proprietary data?
Yes. Expert AI Terminal subscribers can train custom AI models on proprietary data. Your data stays local and private — we don't upload it to public clouds. Full data sovereignty is guaranteed.
Q: Is my data stored in the cloud?
Your data is stored locally on your devices by default. We don't upload proprietary project data to public clouds. The zero data retention architecture ensures your work remains private.
Q: What platforms are supported?
macOS 12+ (Intel & Apple Silicon) ◆ Windows 10+ (x64) ◆ Linux (via Docker configurations natively).
Q: Do I need an internet connection?
Local models work completely offline. Cloud models require network connectivity. The USB installer works fully offline for local operations.
The Manifesto

The Philosophy: Intelligence You Own

Infrastructure tracking configurations built out around professional data independence models.

Zero Data Retention
Your thoughts, your research, your code—yours. We don't train on your data. We don't retain your queries. We don't lock you into our models. Expert AI Terminal is infrastructure you control.
Multi-Model, No Lock-In
The best AI for the task—not the only AI we offer. Switch between OpenAI, Anthropic, Google, Meta, and open-source models mid-conversation. Compare outputs. Choose the best.
Physical Intelligence
Your AI travels with you on USB. No cloud dependency. No accounts to manage. No permissions to request. Plug into any machine and resume where you left off.

Support & System Contact Architecture

📧 Email: [email protected]  |  💬 WhatsApp Support: +91 99144 99477 — Instant support pipelines.

Supporting professionals building for a better future.

Why Choose Expert AI Terminal

Built for Professionals Who Demand More

Six core differentiators that set Expert AI Terminal apart from generic AI tools.

🔐

Own Your Stack

Access 200+ AI models across providers with a unified interface. No vendor lock-in.
  • OpenAI, Anthropic, Google, Meta, Mistral, and open-source models
  • Pay-as-you-go pricing with no long-term contracts
  • Switch models mid-workflow without data loss
  • Zero data retention architecture
  • Multi-model workflows and comparison
🧠

Persistent Memory

Deep knowledge graphs that remember context across sessions and projects.
  • AI learns your patterns and preferences over time
  • Contextual recall improves with every interaction
  • Project history and research continuity
  • Automatic knowledge graph generation
  • Cross-session context retention

Local-First Architecture

Free forever AI models with local USB. Full data sovereignty.
  • Your proprietary data never leaves your machine
  • Optional features for pay as you go
  • No subscription required for local models
  • Offline-first capability
  • No sign in set up in 30 seconds with USB
🔬

Research-Grade Tools

10,000+ doctoral papers with literature automation and academic workflows.
  • Access to comprehensive research archive
  • Literature review automation
  • Paper-to-code audit capabilities
  • Reproducibility verification
  • Academic-quality analysis workflows
🎯

AEC-Optimized

Purpose-built for architects and engineers with domain-specific tools.
  • BIM assistance and data analysis
  • Design formula library (MathBook)
  • Building code compliance checking
  • Spatial analysis and visualization
  • Technical workflows for AEC professionals
🚀

Developer Ready

IDE integration, API access, and full automation for power users.
  • IDE integration and code editor plugins
  • REST and GraphQL API access
  • Multi-language SDK support
  • Full automation and scripting capabilities
  • Extensible architecture for custom workflows

How Expert AI Terminal Compares

Feature Expert AI Terminal Generic AI Tools Enterprise Solutions
Multi-Model Access
Local-First Architecture
Persistent Memory
Research Paper Access
AEC-Specific Tools
API & Automation
Zero Data Retention
Pay-As-You-Go Pricing
Obsidian Integration
Affordable Entry Price
Six Core Use Cases

How Professionals Use Expert AI Terminal

From software development to academic research, AEC design to knowledge management.

Use Case 01

Software Development

Full-stack code generation, debugging, testing, and optimization across all major languages.
  • Multi-language support: Python, JavaScript, TypeScript, Rust, Go, Java, C++, C#, PHP, Ruby, Swift, Kotlin
  • Real-time debugging, error analysis, and stack trace interpretation
  • Code review, refactoring suggestions, and performance optimization
  • Automated test generation, coverage analysis, and edge case detection
  • Documentation auto-generation from code and docstrings
  • Git integration, commit message generation, and branch management
  • Architecture review and design pattern suggestions
Use Case 02

Academic Research

10,000+ doctoral papers with semantic search, synthesis, and reproducibility verification.
  • Full-text paper search with semantic understanding and relevance ranking
  • Literature review synthesis across multiple papers and research areas
  • Citation management, provenance tracking, and reference validation
  • Paper-to-code audit: compare claims against public codebases
  • Reproducibility verification and methodology assessment
  • Knowledge graph generation from research findings
  • State-of-the-art analysis and research landscape mapping
  • Peer review simulation and constructive critique
Use Case 03

Architecture & Engineering

BIM workflows, design formulas, spatial analysis, and technical documentation for AEC professionals.
  • Design formula library (MathBook integration) with structural calculations
  • BIM data analysis, optimization, and clash detection
  • Building code compliance checking and regulatory verification
  • Spatial analysis, visualization, and layout optimization
  • Technical specification generation and documentation automation
  • Material selection and cost estimation
  • Project scheduling and resource planning
Use Case 04

Knowledge Management

Obsidian integration with persistent memory, graph visualization, and contextual recall.
  • Obsidian vault sync with real-time graph visualization
  • Persistent memory across sessions with context retention
  • Automated note linking and bidirectional backlinks
  • Canvas workspace for visual thinking and mind mapping
  • Universal search across all archives and collections
  • Digital gallery and collections management
  • Automatic tagging and semantic organization
Use Case 05

Data Analysis

CSV, JSON, Excel, SQL with statistical analysis, visualization, and automated reporting.
  • Multi-format data import: CSV, TSV, JSON, JSONL, Excel, SQL, Parquet
  • Statistical analysis, modeling, and hypothesis testing
  • Interactive visualization generation with Vega-Lite
  • Automated report generation with charts and summaries
  • Data cleaning, transformation, and normalization
  • Predictive analytics and machine learning workflows
  • Time series analysis and forecasting
Use Case 06

Content Creation

Writing, editing, and professional communication with multi-language and format support.
  • Email and message drafting with tone adjustment
  • Technical documentation and API reference generation
  • Content editing, proofreading, and style refinement
  • Markdown and LaTeX support with equation rendering
  • Multi-language support and translation assistance
  • Collaborative writing workflows and version control
  • SEO optimization and content strategy
Advanced Research Capabilities

Research Workflows

Specialized workflows for academic research, literature review, and technical analysis.

🔍

Deep Research

Multi-source investigation with cited briefs, source-heavy analysis, and provenance tracking across web and academic sources.
  • Search across 10,000+ papers and web sources
  • Aggregate findings with full source attribution
  • Generate cited research briefs
  • Track provenance and verification status
Multi-Source
📚

Literature Review

Comprehensive paper survey, state-of-the-art analysis, academic landscape mapping, and research trend identification.
  • Survey papers in a research area
  • Identify state-of-the-art approaches
  • Map research landscape and trends
  • Generate synthesis and comparison matrices
Academic
🔬

Paper Code Audit

Compare paper claims against public codebases, verify reproducibility, identify implementation mismatches and gaps.
  • Extract paper methodology and claims
  • Locate public implementations
  • Compare code against paper descriptions
  • Identify reproducibility issues
Verification
🔄

Replication Studies

Plan and execute paper replications, benchmark verification, empirical validation, and result confirmation.
  • Plan replication methodology
  • Set up experimental environment
  • Run benchmarks and collect results
  • Compare against original findings
Empirical
✍️

Peer Review

Simulate tough but constructive peer review, identify weaknesses, strengthen arguments, and improve rigor.
  • Analyze paper structure and claims
  • Identify methodological weaknesses
  • Suggest improvements and clarifications
  • Provide constructive feedback
Critique
⚖️

Source Comparison

Compare multiple sources, generate comparison matrices, grounded analysis, and consensus identification.
  • Collect multiple sources on topic
  • Extract key claims and findings
  • Generate comparison matrices
  • Identify consensus and disagreements
Analysis
📝

Paper Writing

Turn research findings into polished papers with sections, equations, citations, and academic formatting.
  • Structure paper with standard sections
  • Integrate equations and figures
  • Generate citations and references
  • Format for academic submission
Writing
👁️

Research Watch

Recurring monitoring on topics, companies, papers, and product surfaces with automated alerts and updates.
  • Set up monitoring on research areas
  • Track new papers and publications
  • Monitor company announcements
  • Receive automated alerts
Monitoring
Advanced Processing

Processing Capabilities

Enterprise-grade performance with unlimited throughput and flexible model selection.

Parsing
Multi-Format Extraction
Extract text, metadata, and structure from any file type with layout preservation.
OCR
Optical Character Recognition
Convert scanned documents and images to searchable text with high accuracy.
Analysis
Content Understanding
Semantic analysis, entity extraction, and relationship mapping across documents.
Search
Full-Text & Semantic
Search across all formats with keyword and semantic understanding.
Integration
Obsidian & Canvas
Sync with Obsidian vaults, create knowledge graphs, and visual workspaces.
Batch
Bulk Processing
Process hundreds of files simultaneously with parallel execution.
Performance
Unlimited Throughput
No rate limits or usage caps. Scale from single requests to millions of tokens per session.
Flexibility
Model Switching
Switch between Claude, Gemini, GPT, and specialized models mid-session without interruption.
Context
128K–1M Token Window
Process entire codebases, research papers, and multi-document analysis in a single context. Scale from 128K to 1M tokens.
Automation
Subagent Orchestration
Delegate complex workflows to specialized agents with parallel execution and forked contexts.
Complete File Support

Supported File Types & Formats

Work with any file format. From code to research papers, data to presentations.

💻

Code Files

  • .py, .js, .ts, .jsx, .tsx
  • .rs, .go, .java, .cpp, .c
  • .cs, .php, .rb, .swift, .kt
  • .sh, .bash, .zsh, .fish
  • .json, .yaml, .xml, .toml
  • .sql, .graphql
📄

Documents

  • .md, .markdown
  • .pdf (with OCR)
  • .docx, .doc
  • .txt, .rtf
  • .tex, .latex
  • .odt
📊

Data Files

  • .csv, .tsv
  • .xlsx, .xls
  • .json, .jsonl
  • .sql, .db
  • .parquet, .arrow
  • .ndjson
🖼️

Images

  • .png, .jpg, .jpeg
  • .gif, .webp
  • .tiff, .bmp
  • .svg
  • OCR enabled
  • Batch processing
🎬

Presentations

  • .pptx, .ppt
  • .odp
  • Slide extraction
  • Speaker notes
  • Content analysis
  • Batch conversion
🔬

Research

  • arXiv papers
  • PDF research
  • BibTeX citations
  • Zotero integration
  • Citation networks
  • Metadata extraction
💡

Expert AI Terminal Commands & Skills

A comprehensive list of available commands and their descriptions to understand the full capabilities.
  • /alpha-research: Search, read, and query research papers via the `alpha` CLI.
  • /autoresearch: Autonomous experiment loop to optimize metrics iteratively.
  • /contributing: Contribute changes to the Expert AI Terminal repository.
  • /deep-research: Run a thorough, source-heavy investigation on any topic.
  • /docker: Execute research code inside isolated Docker containers.
  • /eli5: Explain research, papers, or technical ideas in plain English.
  • /jobs: Inspect active background research work.
  • /literature-review: Run a literature review using paper search and primary-source synthesis.
  • /modal-compute: Run GPU workloads on Modal's serverless infrastructure.
  • /paper-code-audit: Compare a paper's claims against its public codebase.
  • /paper-writing: Turn research findings into a polished paper-style draft.
  • /peer-review: Simulate a tough but constructive peer review of an AI research artifact.
  • /preview: Preview Markdown, LaTeX, PDF, or code artifacts.
  • /replication: Plan or execute a replication of a paper, claim, or benchmark.
  • /runpod-compute: Provision and manage GPU pods on RunPod for long-running experiments.
  • /session-log: Write a durable session log capturing completed work, findings, and next steps.
  • /session-search: Search past Expert AI Terminal session transcripts.
  • /source-comparison: Compare multiple sources on a topic and produce a grounded comparison matrix.
  • /watch: Set up a recurring research watch on a topic, company, paper area, or product surface.
  • /pi-subagents: Delegate work to builtin or custom subagents.
  • /parse-document: Parse local documents (PDF, DOCX, PPTX, images) with OCR capabilities.
  • /librarian: Research open-source libraries with evidence-backed answers and GitHub permalinks.
  • /pi-processes: Manage long-running commands in the background.
  • /pi-ralph-wiggum: Long-running iterative development loops with pacing control.
  • /read: Read the contents of a file.
  • /write: Write content to a file.
  • /edit: Edit a single file using exact text replacement.
  • /bash: Execute a bash command.
  • /ls: List directory contents.
  • /find: Search for files by glob pattern.
  • /grep: Search file contents for a pattern.
  • /alpha-search: Search research papers through alphaXiv.
  • /alpha-get-paper: Fetch a paper's AI-generated report or raw full text.
  • /alpha-ask-paper: Ask a targeted question about a specific paper.
  • /alpha-annotate-paper: Write or clear persistent local annotations for research papers.
  • /alpha-list-annotations: List all saved paper annotations.
  • /alpha-read-code: Read files directly from a paper's associated GitHub repository.
  • /write-to-obsidian: Save research results directly to the configured Obsidian vault.
  • /get-obsidian-config: Get the current Obsidian vault path.
  • /subagent: Delegate tasks to specialized subagents or manage agent definitions.
  • /document-parse: Parse various document formats (PDF, DOCX, PPTX, images) with OCR capabilities.
  • /zotero: Search and query the user's Zotero library for citations and details.
  • /schedule-prompt: Schedule prompts to run at specific times or intervals.
  • /memory-search: Search persistent memory for stored facts, preferences, and lessons.
  • /memory-remember: Store information (facts, lessons, preferences) in persistent memory.
  • /memory-forget: Remove specific entries from persistent memory.
  • /memory-lessons: List learned corrections and lessons from past sessions.
  • /memory-stats: Display statistics about the stored memory.
  • /ralph-start: Initiate a long-running, iterative development loop.
  • /ralph-done: Signal the completion of an iteration within a Ralph loop.
  • /vega-chart: Render a Vega-Lite specification into a PNG chart image.
  • /process: Manage background processes.
  • /web-search: Search the web using various providers.
  • /code-search: Find code examples, documentation, and API references.
  • /fetch-content: Fetch content from URLs and extract it as markdown.
  • /get-search-content: Retrieve the full content from a previous search or fetch operation.
  • /audit: Analyze a paper's claims against its public codebase and identify mismatches, omissions, and reproducibility risks.
  • /autoresearch: Autonomous experiment loop — try ideas, measure results, keep what works, discard what doesn't, repeat.
  • /code: Perform full-spectrum software engineering and technical automation in UNRESTRICTED MODE.
  • /compare: Compare multiple sources on a topic and produce a source-grounded matrix of agreements, disagreements, and confidence.
  • /deepresearch: Conduct thorough, source-heavy investigations on a topic and produce durable research briefs with inline citations.
  • /draft: Transform research findings into polished paper-style drafts with equations, sections, and explicit claims.
  • /gather-context: Use subagents to gather context, then ask clarifying questions.
  • /lib: Manage and search your local knowledge vault offline. Acts as your personal AEC Library Manager.
  • /libsearch: Perform a deep fuzzy search inside your vault file contents (Fuzzy RAG).
  • /lit: Conduct literature reviews on a topic using paper search and primary-source synthesis.
  • /parallel-cleanup: Perform parallel cleanup reviews.
  • /parallel-context: Use parallel context builders for planning handoffs.
  • /parallel-handoff: Handoff parallel research/context builders into an implementation handoff plan.
  • /parallel-research: Conduct parallel subagents research.
  • /parallel-review: Perform parallel subagents reviews.
  • /replicate: Run replication workflows for papers, claims, or benchmarks.
  • /review: Simulate AI research peer reviews with likely objections, severity, and concrete revision plans.
  • /watch: Set up recurring or deferred research watches on topics, companies, paper areas, or product surfaces.
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