// the_problem
If you're a developer or AI power user, you've experienced this frustration: you craft a prompt in ChatGPT. Copy it. Paste it into Claude. Wait for the response. Then do the same for Gemini. By the time you've compared all three, you've lost context and wasted 5-10 minutes just switching tabs.
Worse: human bias creeps into manual comparison. You might unconsciously favor the first response you read, or prefer a model because of brand familiarity. There's no objective way to know which model actually performs best for your specific prompt.
Each LLM has strengths—GPT-4 for reasoning, Claude for writing, DeepSeek for cost efficiency—but the current workflow forces you to pick one or manually test each with no standardized evaluation criteria.
// the_solution
x47 is a multi-model prompt console built specifically for this workflow. You write one prompt, select your models (GPT-4, Claude 3.5, Gemini 2.0, DeepSeek, Llama 4), and hit run. All responses load in parallel and display side-by-side.
Unlike ChatGPT Arena (human voting) or single-model playgrounds, x47 uses a council of 5 LLM judges to evaluate responses blindly. Responses are anonymized before judging—judges don't see model names, just the content. This eliminates vendor bias and gives you objective rankings based on fact accuracy, creativity, and usability.
No tab switching. No copy-pasting. No subjective gut feelings. Just fast, objective comparison of LLM outputs in a minimal, keyboard-first interface.
// what_makes_us_different
blind_evaluation_with_judge_councilBlind Evaluation
5 different LLMs act as judges. Responses are anonymized before judging. Each judge scores on fact accuracy, creativity, and usability. Council votes produce objective rankings.
start_in_30_secondsStart in 30 Seconds
No API keys required. No account needed. Open the console and run your first multi-model comparison immediately. Add your own keys later for higher limits.
local_first_privacyLocal-First Privacy
Your prompts stay in localStorage. Nothing is sent to x47 servers. Full history search and JSON export without compromising your data.
// built_in_prompt_engineering
Beyond comparison, x47 includes automated prompt engineering features that improve your prompts before sending them to models:
prompt_improveRewrites using Chain-of-Thought, delimiters, precision constraints
system_prompt_createAuto-generates optimized system prompt
create_prompt_chainBreaks goals into multi-step workflows
reasoning_injections
trace_reasoningStep-by-step deconstruction (math/logic)architect_planTree of Thoughts: 3 approaches, score, execute winnerself_healReflexion: draft → critique → refine (code)deep_computeHidden scratchpad for sensitive topicsverified_executeRequires citation for every claim (research)// built_for_power_users
variable_injectionVariables
Use $customer_name syntax to inject variables dynamically
prompt_chainingChaining
Chain multiple prompts for complex multi-step workflows
share_and_forkShare & Fork
Share artifacts with teammates, fork for your use case
full_historyHistory
Search past prompts, JSON export for analysis