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Helm
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Ask Every AI Model At Once, Keep The Best

Beam one prompt to several AI models, compare their answers, and keep the best one.

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The Helm app mid-beam: one contract question answered side by side by Atlas-70B, Sonnet-class and GPT-class, with timing and token counts on each answer.

The full version connects to any OpenAI-compatible endpoint

  • OpenAI-compatible APIs
  • Self-hosted vLLM
  • Ollama
  • LM Studio
  • Open-weight models

About Helm

Helm is a multi-model AI workspace designed and engineered by Meng
Tech. Instead of trusting one model, you beam a prompt across several,
compare their answers side by side, and merge the best parts into one
reply, with every chat saved in your own browser.

Helm is a multi-model AI workspace designed and engineered by Randy See. Instead of trusting one model, you beam a prompt across several, compare their answers side by side, and merge the best parts into one reply, with every chat saved in your own browser.

Meet Randy See
(opens in a new tab)
  • Beam
  • Merge
  • Personas
  • Branches
  • Local-first

Our Features

What Makes Helm Different

Everything you need to put several models to work on one question, and keep the answer you trust.

  • Should we accept the uncappedindemnity in clause 9.2?ACAtlas-70B · 1.6s · 87 tokSonnet-classstreaming…Beam

    One prompt, every model

    Beam a prompt to two, three or four models at once, then keep the best answer or merge the strongest points of each into one reply.

  • AVSG

    Made for every model.

    Four simulated models in the demo. The full version wires in yours.

  • New PersonaCounselEngineerAnalystReply as Counsel

    Personas on demand

    Six built-in specialists, from Engineer to Counsel, plus any you create. Switch one in mid-thread.

  • Tokens streamedAtlas-70BSonnet-class1801206000s0.6s1.2s1.8s2.4s3.0s3.6sAtlas-70B87 tok

    Watch every answer stream in.

    Each model streams into its own column with its timing and token count, so you see at a glance who answered fast and who went deep.

By the numbers

Designed & Engineered by Randy See.

Next.js 16 · React 19 · TypeScript 5 · Tailwind CSS 4
Built by Randy See (opens in a new tab)
  • 4
    Models in the demo
  • 6
    Built-in personas, plus yours
  • 5
    Seeded chats to explore
  • 0
    Sign-ups or API keys

How it works

How Helm Works

Open the real app, put it to work on a real question, then talk to Randy See about yours.

  1. Open the live demo
  2. Beam and merge
  3. Get the full version
  1. Loading your workspaceWorkspace ready

    Open Helm in your browser

    The workspace loads with seeded chats, six personas and four simulated models. No install, no sign-up, no API keys.

  2. Should we accept the uncapped indemnityin clause 9.2, or push back?ACMerging 3 answers…Merged answer: push back. Cap liability at 12months of fees, carve out data protection andmake the cap mutual. Merged from 3 models.Draft the redline for the vendor.AC

    Beam a question, then merge the answers

    Send one prompt to several models, read them side by side, and keep one answer or merge the best of each into a single reply.

  3. Your modelsYour brandingRandy SeeFull versionHanded overno subscription

    Get the full version from Randy See

    Randy See wires in your models, adds your branding and sign-in, deploys it on your infrastructure and hands it over. No subscription.

Bring any model you run

Hosted APIs, self-hosted open weights, or a private gateway, wired in through your own backend so keys never touch a browser.

Any OpenAI-compatible endpoint
VAG

Advantage

Why Choose Helm?

A second opinion on every answer, without handing your chats to anyone.

  • Answers You Can Check

    See where models agree before you act. Merge the best points into one reply.

  • Yours to Keep and Shape

    Chats stay in your browser. The full version is handed over, with no seat fees.

Talk to Randy See

Use cases

What Teams Put Helm To Work On

Each persona re-frames every answer for the job at hand. Switch one in mid-thread.

Systems + code review

Checkout p99 doubled after a cache migration. Beam the rollback question to three models, compare their calls side by side, and merge the fix plan into one memo.

Seeded chats

Real Work, Already In The Demo

Open any of these chats in the live demo and keep going: beam it, branch it, merge it.

Ready to Put Several Models On Every Question?

Try Helm in your browser right now, then message Randy See on WhatsApp to get the full version built around your models.

Try the Live Demo
Chat on WhatsApp
Merge completed
PersonaCounsel · ContractsWhat should we redline inclause 9.2 before we sign?4 modelsBeamAVS+1Open demoTokens per answer4 models170tok · longestAtlasVegaSonnetGPT

Still Have Questions?

Message Randy See on WhatsApp and get your answer from the engineers who built Helm, not a sales queue.

Chat on WhatsApp

FAQ’s

Frequently Asked Questions

  • Yes. It is the actual Helm interface running in your browser: chats, personas, beams, merges and branches all work. The one difference is the models: in the demo they are simulated, so it runs instantly with no sign-up and no API keys.

  • Nowhere. They are saved in this browser's local storage, so they survive a reload. You can export them as JSON or wipe everything with Reset demo data in the sidebar.

  • A beam sends one prompt to two to four models at once and lays the answers out side by side with timing and token counts. Pick a lead answer to keep it, or merge it with the new points from every other column into one reply.

  • Real models. Randy See connects Helm to the providers you choose, hosted or self-hosted, through your own backend, then adds your branding, sign-in and any team features you need, and deploys it on your infrastructure.

  • Message Randy See on WhatsApp or email. We scope what you need, build it and hand it over. It is a one-off build, not a subscription.