🧠 Frontier Multi-Model Core
Cortex switches dynamically or manually between 7 state-of-the-art model architectures:
FRONTIER FLAGSHIP
Cortex 5.3 (Frontier MoE 753B) · 753B MoE
z-ai/glm-5.3 • Locked Deep Thinking Mode • 400k+ Context
Colossal 753B parameter frontier mixture-of-experts model operating in deep chain-of-thought thinking mode. Engineered for profound mathematical proofs, architectural decomposition, and complex code intelligence.
VISION & REASONING
Cortex 5.3 Flash (Vision & Reasoning 320B) · 320B MoE
z-ai/glm-5.3-flash • Multimodal Vision & Deep Thinking • 400k+ Context
High-speed 320B multimodal & vision reasoning model with instantaneous first-token response. Combines visual diagram analysis, UI OCR inspection, and locked analytical thinking.
FLAGSHIP
Cortex 5 (Super Agent) · 120B MoE
nvidia/nemotron-3-super-120b-a12b
Frontier mixture-of-experts model optimized for agentic tool use, autonomous planning, multi-step problem solving, and complex software development.
ULTRA REASONING
Cortex 5 Ultra (Master Agent) · 550B MoE
nvidia/nemotron-3-ultra-550b-a55b
Massive 550B parameter flagship with unrivaled depth in mathematics, theoretical computer science, complex distributed system architectures, and rigorous academic research.
TRANSPARENT REASONING
Cortex 4 (Deep Reasoning) · 20B
openai/gpt-oss-20b
Transparent internal reasoning traces displayed via an interactive collapsible thinking bubble. Ideal for algorithmic debugging, logic puzzles, and verifiable deductions.
VISION & OCR
Cortex 4 Omni · 30B Vision
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning
Native multi-modal vision and reasoning. Upload architectural diagrams, UI mockups, financial tables, or error screenshots for instant OCR and contextual breakdown.
LIGHTNING
Cortex 3.5 Lightning · 30B
nvidia/nemotron-3.5-lightning-30b-a3b
Ultra-low time-to-first-token (0.5s - 1.2s). Best for instant brainstorming, grammar editing, quick code completions, and high-frequency queries.
💬 28+ Production Prompt Templates
Ready-to-use, battle-tested prompt templates across 6 disciplines. Click Use to instantly insert into composer, or Copy to customize:
Design a complete production-grade microservice architecture for [System / Use Case]. Provide an architectural diagram in ASCII/Mermaid, directory layout, database schema with indexes, FastAPI async endpoints, Dockerfile, and error-handling middleware. Package the entire specification as [service_architecture.md].
Review and refactor the following codebase for maximum performance, strict type annotations, DRY principles, and memory efficiency. Explain the architectural bottlenecks identified and provide the updated drop-in code:
[Paste your code here]
Design a normalized relational database schema for [Platform / App]. Include CREATE TABLE statements with foreign keys, composite indexes, JSON constraints, and write 5 optimized analytical queries for reporting metrics.
Write a comprehensive PyTest / Jest test suite for the following module. Include edge cases, boundary conditions, mocking for external API calls, parameterized tests, and 100% test branch coverage:
[Paste function or module here]
Perform a rigorous security audit of the following code. Inspect for OWASP Top 10 vulnerabilities (SQLi, XSS, CSRF, ReDoS, Auth bypass, SSRF). For each vulnerability found, explain the exploit vector and provide the secure remediated patch:
[Paste snippet or configuration here]
Generate an interactive Chart.js visualization comparing [Metric 1] vs [Metric 2] across [Categories / Years]. Use high-contrast modern colors, custom tooltips, legend toggles, and render metric highlight cards above the chart.
Write a comprehensive Python script using NumPy and SciPy to model [System / Phenomenon, e.g., Monte Carlo stock trajectory, particle diffusion, epidemic spread]. Include statistical confidence intervals, type annotations, docstrings, and print summary metrics.
Write a production-ready Pandas ETL script for [Dataset Description]. Handle missing values, outliers via IQR, one-hot encoding, datetime feature extraction, rolling averages, and calculate Pearson correlations. Include clean docstrings and unit test assertions.
Simulate a 30-year investment portfolio in Python with an initial amount of $10,000 and monthly contributions of $500 at 8%, 10%, and 12% annual returns. Factor in 2.5% inflation. Plot the real vs nominal growth curves and print a tabular milestone breakdown.
Analyze an A/B test dataset with Control (N=10,000, conv=4.2%) vs Variant (N=10,200, conv=4.9%). Write a Python script to compute two-proportion z-test, p-value, 95% confidence intervals, and statistical power. Conclude if the result is statistically significant.
Create a comprehensive, structured preparation plan for [Exam, e.g. JEE Advanced / GATE / UPSC / USMLE]. Structure it as a markdown document with a 6-month timeline, high-weightage topics breakdown, daily time-blocking schedule, top reference books, mock test strategy, and common traps to avoid. Save as [exam_prep_plan.md].
Provide a rigorous, step-by-step mathematical proof of [Theorem / Formula, e.g. Bayes Theorem, Singular Value Decomposition, Cauchy-Schwarz Inequality, Maxwell Equations]. Format every equation cleanly in display KaTeX math ($$...$$) and explain the physical or geometric intuition behind each step.
Synthesize and critically evaluate the research landscape of [Topic / Paper Title]. Summarize core methodology, empirical benchmarks, mathematical formulations, foundational limitations, and future research directions in a structured report.
Analyze the recurrence relation T(n) = aT(n/b) + f(n) for the following recursive algorithm. Apply the Master Theorem cases or recursion tree method, state the tight asymptotic bound (Big-Theta), and analyze worst-case auxiliary space complexity:
[Paste algorithm description or recurrence here]
Solve the following second-order non-homogeneous differential equation analytically with KaTeX math steps. Then write and run a Python script using scipy.integrate.solve_ivp to plot the trajectory and phase portrait:
[Enter Differential Equation and Initial Conditions here]
Search the web for the latest verified benchmark comparisons between [Model A, e.g. Claude 3.7 Sonnet], [Model B, e.g. GPT-4.5], and [Model C, e.g. Nemotron 3]. Compare MMLU-Pro, HumanEval, Math, and pricing per 1M tokens. Provide a markdown comparison table with cited sources.
Fact-check the following claim using real-time web sources. State whether the claim is TRUE, FALSE, PARTIALLY TRUE, or MISLEADING. Cite primary sources, authoritative institutions, or official filings to back up the conclusion:
[Enter Claim to investigate]
Search the web and analyze the competitive landscape for [Industry / SaaS category]. Identify the top 5 players, their pricing tiers, key technological differentiators, customer reviews/pain points, and market gaps. Save as [market_analysis.md].
Conduct a technology trend radar analysis for [Technology, e.g. WebGPU, Post-Quantum Cryptography, AI Agents]. Categorize sub-technologies into Adopt, Trial, Assess, and Hold with technical justification and recent breakthroughs.
Write a comprehensive Product Requirement Document (PRD) for [Feature / New Product]. Include Problem Statement, Target Personas, User Stories with Acceptance Criteria, Success Metrics (KPIs), Technical Constraints, and Scope Boundaries. Save as [product_spec_prd.md].
Build a 10-slide venture pitch deck outline for [Startup Idea]. Include Problem, Solution, Market Size (TAM/SAM/SOM), Product Demo outline, Business Model, Unit Economics, GTM Strategy, Competition, and Financial Ask.
Perform an actionable SWOT analysis for [Company / Project]. Map each Weakness and Threat into a high-priority tactical mitigation initiative with timeline and owner assignment.
Draft a 1-page executive decision memo analyzing whether to [Choice A, e.g. Build in-house] vs [Choice B, e.g. Buy third-party solution]. Outline financial cost breakdown, risk trade-offs, scalability, and present a definitive recommended decision.
Create a 30-minute customer interview guide based on 'The Mom Test' principles for [Product Concept]. Formulate non-leading questions that uncover genuine past behavior, current spending, workflow frustrations, and willingness to pay.
Deconstruct [Complex Problem / Assumption] down to its foundational first-principles truths that cannot be deduced any further. From those fundamentals, reason up to create an unconventional, highly efficient solution.
Review the following contract / terms of service agreement. Identify high-risk indemnity clauses, unilateral termination rights, non-standard IP ownership transfers, and recommend redline edits to protect our interests:
[Paste Contract Text here]
Write an engaging, step-by-step developer tutorial explaining [Concept / Framework, e.g. Building a RAG pipeline from scratch]. Include architectural diagrams, working copy-pasteable code, explanations of edge cases, and best practices. Format as [tutorial_guide.md].
Act as a Principal Staff Software Engineer conducting a system design and coding interview for [Role, e.g. Senior Backend Engineer]. Start by presenting the problem statement, wait for my clarifying questions, evaluate my responses critically, and guide me through trade-offs.