Multi-model in one pane
Send the same prompt to multiple engines with a click. Compare reasoning, tone, and latency.
Interlink AI is the test bench for serious builders. Fan out a single prompt to ChatGPT, Claude, and Gemini, stage prompt races, and lock in winners for repeatable workflows.
Your API keys, your guardrails, export to your stack.
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Why Interlink AI
Side-by-side answers, prompt tournaments, and reusable kits for teams and creators.
Send the same prompt to multiple engines with a click. Compare reasoning, tone, and latency.
Turn comparison into a game for TikTok, Twitch, or your team. Keep the winners.
Save winning prompts as shareable templates so your team reuses what works.
Use your own OpenAI, Claude, and Gemini keys. Nothing is trained on your data.
Playground
Run real prompts with your stack. Turn experiments into repeatable workflows.
Tip: Use voice input, examples, or type your own. Track model behavior with feedback tools.
Outputs will appear here after you run.
Code Validation
Send a snippet through OpenAI and Claude-style reviewers, merge the findings, and keep model/version visibility in the same workspace.
Run a code validation pass to see provider summaries and merged findings.
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Prompt Races
Great for "find the best deal" battles, research sprints, or live content.
Run a race to see model answers and timings.
Research Analytics
Comprehensive analytics for PC lab work, research processes, and production readiness.
DevOps Workflow
Manage your AI research pipeline from development through staging to live deployment.
A/B Testing
Run controlled experiments to find the best performing prompts with real statistical significance.
CI/CD Pipelines
Build automated pipelines to lint, test, benchmark, and deploy your prompts with confidence.
Team Collaboration
See who's online, share experiments, and collaborate on prompt development with your team.
Performance Trends
Visualize latency, success rates, and usage patterns with interactive time-series charts.
Resources
Curated resources for critical thinking, responsible AI use, and continuous learning.
Question Everything: Don't accept AI responses at face value. Ask: "How does this model know this? What sources would support or contradict this?"
Cross-Reference: Use multiple models and compare. Different perspectives reveal blind spots.
Verify Claims: Check facts with external sources. AI can hallucinate convincingly.
Beginners: Start with comparison prompts. See how different models approach the same question.
Intermediate: Use feedback tools to track model behavior patterns over time.
Advanced: Experiment with vision, voice, and multi-modal inputs to understand limitations.
Overconfidence: Model states facts without uncertainty when it should express doubt.
Hallucination: Fabricates data, links, or references that don't exist.
Inconsistency: Gives different answers to the same question in different sessions.
Deception: Creates false scenarios or misleading information.
Community
Connect, learn, and share findings with others building critical thinking skills.
Every two weeks, we compare AI model findings live. Analyze real-world scenarios, discuss results, and learn together.
Coming Soon - SubscribeChannel launches Q2 2026 — expected June 1st. Be the first to know!
Deep dives into AI behavior, case studies, and practical guides for responsible AI usage.
Coming SoonHelp shape the future of Interlink AI. What features would improve your workflow?
Found a bug? Have suggestions? We're listening.
Pricing
Your API keys. No usage skims. Built for measurable testing and production orchestration.
Expert Mode
Switch into a focused, FaceTime-style assistant for deep dives, code reviews, or strategy runs.
Early Access
We are onboarding the first wave of builders and creators. Drop your email or jump into the playground above.