Not Diamond
Not Diamond routes each prompt to the model most likely to answer it well, drawing on GPT-4o, Claude, Gemini and others.
Not Diamond attacks a real annoyance — model-shopping every prompt — with learned routing rather than hand-written rules, which is a more interesting bet than another multi-model chat window. Prototype with it if you get access: the feedback loop that adapts to your prompts is the part worth testing. Don't put it on a production critical path yet. Chat-only alternatives like ChatGPT, Claude, and Gemini keep everything in one vendor, and if you want explicit routing control instead of learned routing, a gateway like OpenRouter or LiteLLM gives you the rules in writing.
Verified 13d ago · liveness 66/100 · cite: rightaichoice.com/tools/not-diamond
- Power users who compare answers across GPT-4o, Claude, and Gemini and want one inbox
- Developers building multi-model features who don't want to hand-roll routing logic
- Teams that want a shared adaptive assistant with usage analytics
- Early adopters comfortable running beta software to influence the roadmap
- Users who need a fully free, unlimited service without invite gating
- Anyone who prefers one model family and no routing layer at all
- Teams that require published SLAs or audited data-handling docs before signing
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Skip Not Diamond if you need a documented SLA and audited data-handling papers before you route production traffic, or if you want to write the routing rules yourself rather than let a learned model decide.
Feedback-driven routing means the first days of use produce weaker model choices than later ones — you're paying in time before the product pays you back.
Pricing is not confirmable from this refresh — the only reachable vendor page was the login screen, which carries no tier list. Industry context only: a single-model subscription (ChatGPT, Claude, or Gemini) is the cheapest way to get one strong model; multi-model gateways such as OpenRouter are typically usage-metered; Not Diamond's bet is that automatic routing saves more than it costs. Confirm tier prices and billing periods directly with the vendor before budgeting.
In short
Not Diamond — Not Diamond routes each prompt to the model most likely to answer it well, drawing on GPT-4o, Claude, Gemini and others. Best for Power users who compare answers across GPT-4o, Claude, and Gemini and want one inbox, Developers building multi-model features who don't want to hand-roll routing logic, Teams that want a shared adaptive assistant with usage analytics. Free to use.
What people actually say about Not Diamond — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
35 mentions across 3 sources (Hacker News, Product Hunt, Lemmy) · researched Jul 3, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Automatically routes to the best model for each prompt.
- +Learns user preferences over time from feedback.
- +Saves time by eliminating manual model switching.
- +Provides per-chat cost transparency for benchmarking.
- +Supports multiple top models: GPT-4o, Claude, Gemini.
- −Router may trust cheap models incorrectly without evidence.
- −Still in invite-only beta — limited real-world validation.
- −Requires user feedback to learn, adding interaction overhead.
- −Privacy risks from storing conversation history.
- −No offline or self-hosted option available.
- • API usage may incur costs from underlying model providers (GPT-4o, Claude, etc.) on top of subscription
- • Premium models may require separate API keys with their own pricing
Viability Score
How well maintained and how widely used is Not Diamond? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Automatic model routing across GPT-4o, Claude, Gemini and other supported models
- Feedback-driven routing that adapts to your prompts and preferences over time
- Chat interface at chat.notdiamond.ai
- API access for embedding routing into custom workflows
- Team workspaces for shared usage and collaboration
- Conversation history across routed chats
- Privacy controls for your data
- Custom model configuration to define your own model lineup
- Usage analytics showing where prompts get routed
- Sign up with email, Google, or GitHub
- Invite-only beta access
About Not Diamond
Not Diamond is a routing layer that sits between you and a stable of large language models. Instead of committing to one chatbot and living with its blind spots, you send a prompt and the service decides which model is most likely to answer it well — the profile on file names GPT-4o, Claude, and Gemini among the options. It is built for people who already keep three tabs open comparing answers: power users, developers, and teams that want one shared assistant without hand-managing model choice. Routing is feedback-driven, so selections adapt to your prompts and preferences the more you use the product — early interactions may not be optimal until the system has learned from you. Beyond the chat interface at chat.notdiamond.ai, the product surface described on file includes API access for embedding routing into your own workflows, team workspaces, conversation history, privacy controls, custom model configuration, and usage analytics showing where prompts get routed. Sign-up is by email, Google, or GitHub. Against alternatives it sits between a single-vendor chatbot (simple, one model family) and a rules-based gateway such as OpenRouter or LiteLLM (maximum control, you define the routing logic yourself); Not Diamond's bet is that learned, preference-driven routing beats both. No pricing page, feature list, changelog, or integrations page was reachable at the time of this refresh, so treat the current picture as the profile on file rather than a confirmed product spec sheet.
Behind the Verdict
The pitch is easy to undersell and easy to oversell. Undersold: routing is a genuinely boring-sounding problem that costs real money and time, because most people default to one model for everything and quietly accept mediocre output on the tasks that model is weak at. Not Diamond's answer is to make the choice for you and then improve that choice from your feedback, which matters more than it sounds — a router that adapts to your prompts and preferences is doing something a static rules table can't. Strengths, as described on file: automatic model routing across GPT-4o, Claude, and Gemini; feedback-driven selection that adapts over time; a chat interface at chat.notdiamond.ai; API access for embedding routing into your own workflows; team workspaces; conversation history; privacy controls; custom model configuration so you can define your own model lineup; usage analytics showing where prompts land; and sign-up via email, Google, or GitHub. Weaknesses to weigh honestly. First, learned routing has a cold-start problem — the profile itself notes early interactions may not be optimal until the system learns your preferences, so the first week is not the product's best week. Second, a learned router can be wrong, and if your workflow can't tolerate a misrouted prompt, that is a structural risk, not a tuning issue. Third, the product is described as beta with invite-gated access, which means you may not be able to evaluate it on your timeline at all. Where it fits: developers building multi-model features who don't want to hand-roll orchestration, and teams that want a shared adaptive assistant with usage analytics. Where it doesn't: anyone who prefers one model family and no routing layer, teams that need published SLAs or audited data-handling documentation in hand before they sign, and anyone who needs a free, unlimited, no-invite service. Comparisons to keep in mind: a single-vendor chatbot is simpler and one model family; OpenRouter and LiteLLM give you maximum control because you write the rules yourself. Not Diamond's differentiator is that the rules are learned. Whether learned beats explicit depends entirely on how much you trust the loop — which is exactly what a prototype is for. One caveat on this refresh: the vendor's login page was the only page reachable, and it shows nothing beyond email, Google, and GitHub sign-in with "The last chatbot you'll ever need" as the headline. Anything about pricing, tiers, billing periods, or documentation quality is outside what we can verify here, so we have left it out rather than guess.
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Real-world workflow fit
Concrete scenarios for the personas Not Diamond actually fits — and what changes day-one when you adopt it.
You wire the API into your product instead of writing orchestration logic that maps prompt types to models by hand.
Outcome: Routing decisions come from the learned system and adapt as your traffic patterns change, so you maintain less prompt-to-model plumbing yourself.
You send the prompt once through the chat interface instead of pasting it into GPT-4o, Claude, and Gemini to compare, and give feedback on which answer landed.
Outcome: The router's choices drift toward the models that have been working for your prompts, and you stop tab-hopping to find out.
You set up a workspace, let the team work in one place, and check usage analytics to see where prompts are being routed.
Outcome: The team has a shared assistant without anyone owning model selection, and you can see the routing distribution rather than guessing at it.
Use Cases
- Write a creative story with vivid descriptions using the best model for narrative.
- Debug a complex code snippet by routing to the most accurate coding model.
- Summarize a lengthy research paper succinctly with factual precision.
- Generate business email drafts that match your tone preferences.
- Learn a new topic by asking follow-up questions that adapt to your understanding.
- Plan a travel itinerary that balances attraction recommendations and practical tips.
Models Under the Hood
as of 2026-10-03
Limitations
- Not Diamond is described on file as beta software with invite-gated availability, so you may not be able to evaluate it on your own schedule.
- Routing is feedback-driven, which means early interactions may not be optimal until the system has learned your preferences — the first sessions are not the product at its best.
- Routing decisions are made by a learned model rather than rules you write, so if your workflow can't tolerate a misrouted prompt, that is a structural risk rather than a setting you can tune.
- Team functionality is limited to workspaces and shared usage analytics as far as the profile describes; there is no documented audit trail, no published SLA, and no audited data-handling documentation to point at.
- Finally, the only vendor page reachable during this refresh was the login screen, so capability details beyond the profile on file could not be re-verified against current vendor copy.
as of 2026-09-25
Verification history
We have re-verified Not Diamond 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Not Diamond tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Early adopters who got beta access and want to test whether learned routing beats picking a model themselves before spending anything.
What this tier adds
Starting tier: access to the Not Diamond chat interface, automatic routing across supported models, and feedback-driven adaptation.
Pro
Contact for pricing
Ideal for
Developers or small teams who have proven the routing quality on the free tier and now need higher limits plus API access for custom workflows.
What this tier adds
Adds API access, custom model configuration, and usage analytics on top of the Free tier, with higher usage limits.
Where the pricing makes sense
The company stage and team size where Not Diamond's pricing actually pencils out — and where peers do it cheaper.
Pricing is not confirmable from this refresh — the only reachable vendor page was the login screen, which carries no tier list. Industry context only: a single-model subscription (ChatGPT, Claude, or Gemini) is the cheapest way to get one strong model; multi-model gateways such as OpenRouter are typically usage-metered; Not Diamond's bet is that automatic routing saves more than it costs. Confirm tier prices and billing periods directly with the vendor before budgeting.
Setup time & first value
How long it actually takes to get something useful out of Not Diamond — broken out by persona, not the marketing-page minute.
For developers: the API path is the fastest route to first value, but expect to spend the early sessions feeding it feedback before routing quality settles. For power users: sign-up with email, Google, or GitHub is quick, and the chat interface needs no configuration — the real time cost is the learning period, not the setup. For teams: workspace setup is the easy part; deciding whether a learned
Switching to or from Not Diamond
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From single-model chat subscriptions (ChatGPT, Claude, Gemini): point your prompt at Not Diamond instead and let it select the model, rather than deciding per task yourself.
- →From OpenRouter or LiteLLM: replace your hand-written routing rules with the learned router and its feedback loop, keeping the API call pattern in your app.
- →From manual tab-comparison workflows: consolidate the several chats you keep open into one routed interface and rate the answers to steer selection.
- ↗To a single-vendor chatbot (ChatGPT, Claude, or Gemini): export your conversation history and accept one model family with no routing layer.
- ↗To a rules-based gateway (OpenRouter, LiteLLM): move your prompts onto explicit routing rules you control and maintain yourself.
Resources & Guides
Tutorials & Learning
Not Diamond、全く新しい無料のAI チャットボットが登場、デモンストレーションを交え解説
Dai's AI & IT Channel
4.4 Softshackle Knot (Diamond Knot)
Premium Ropes
YouTube returned 6 videos for “Not Diamond”, and we withheld 4: 4 did not mention Not Diamond. Showing the 2 we can prove are about Not Diamond.
Official links
Tools that pair well with Not Diamond
Common stack mates teams adopt alongside Not Diamond, with the specific reason each pairing earns its keep.
OrcaRouter
One OpenAI-compatible endpoint in front of 200+ models, with per-prompt grading that routes each call — and no markup on tokens.
Github Copilot Api Vscode
Open-source VS Code extension that turns your GitHub Copilot subscription into a local OpenAI-compatible API server on port 3030.
OpenRouter Agents
One OpenAI-compatible API that routes any request across 500+ text, image, video, and audio models from 80+ providers.
Featured Head-to-Head Comparisons
Not Diamond vs Locus Robotics
Locus Robotics and Not Diamond solve entirely different problems: warehouse logistics vs. AI model selection. Choose Locus if you need proven physical automation to boost warehouse productivity by 2-3x, especially for high-volume 3PL or eCommerce operations. Choose Not Diamond if you're a power user or developer who wants the best AI model per task without manual switching, but be prepared for its beta-stage limitations. They are not direct competitors.
Not Diamond vs Presto Voice
If you run a QSR chain with drive-thrus and want to boost revenue via voice AI upselling, Presto Voice is your answer. If you're a developer or power user who wants the best LLM per task automatically, Not Diamond's freemium routing is the smarter pick. The two tools solve completely different problems, so choose based on your domain.
Not Diamond vs Truleo
Truleo is a specialized, paid law enforcement intelligence platform that connects siloed data (RMS, CAD, jail calls, BWC) to generate case leads and reduce report writing from 40 to 7 minutes. Not Diamond is a freemium, multi-model AI router for general users who want the best model per prompt without manual switching. Choose Truleo for police-specific workflows; choose Not Diamond for flexible, personalized AI assistance across tasks.
Alternatives to Not Diamond
View all
OrcaRouter
One OpenAI-compatible endpoint in front of 200+ models, with per-prompt grading that routes each call — and no markup on tokens.
Github Copilot Api Vscode
Open-source VS Code extension that turns your GitHub Copilot subscription into a local OpenAI-compatible API server on port 3030.
OpenRouter Agents
One OpenAI-compatible API that routes any request across 500+ text, image, video, and audio models from 80+ providers.
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