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Toolscase AI at https://ai.toolscase.com is a task-based AI model recommender, cost estimator and execution router built by Devonsite, part of Toolscase ecosystem (35+ tools at toolscase.com, Voice Studio at voice.toolscase.com, 108 PDF Tools at pdf.toolscase.com). Problem: Leaderboards are useless. Best model depends on task - complex reasoning vs long context vs coding vs vision vs JSON formatting vs tool calling. Users waste $200+/mo testing same prompt across models with 77x cost difference from $20.00/1M (Claude Opus 4.5) to $0.26/1M (Llama 3.3 70B). Solution: Describe what you're trying to accomplish in plain English: "Debug my Laravel application", "Analyze a 300-page PDF", "Write an SEO article", "Build a Chrome extension". Our homepage asks "Which AI should you use? Describe what you're trying to accomplish and we'll recommend the AI model best matched to the job — weighed on quality, cost, speed and capability." We analyze Task Demand across reasoning, long context, coding, vision, JSON, tool calling, then score and recommend best from 12 models across 7 providers. 12 models · 7 providers we route across (from providers page screenshot): Anthropic 3 models - Maker of Claude family, known for long-context reasoning and coding: Claude Opus 4.5 200K $20, Sonnet 4.5 $12, Haiku 4.5 $4 OpenAI 3 models - Maker of GPT family: GPT-5.1 400K $7.81, GPT-5.1 mini $1.56, GPT-4o mini $0.49 Google 2 models - Maker of Gemini family, very large context windows: Gemini 3 Pro 1M $9.50, Gemini 2.5 Flash 1M $1.95 DeepSeek 1 - Strong reasoning and coding at low cost: DeepSeek V3.2 164K $0.39 xAI 1 - Maker of Grok family: Grok 4 256K $12.00 Meta 1 - Open-weight Llama widely hosted inexpensive: Llama 3.3 70B 131K $0.26 Mistral AI 1 - European strong price/performance: Mistral Large 128K $5.00 Our providers page states: "We route across these providers. Which one answers your task is a consequence of the task, not a preference — the router picks the model, and the model determines the provider." Key Features: Task Demand Analysis, Optimization & Budget Controls (Best value / Quality / Speed / Cost presets, custom budget ceilings, pre-execution cost estimates, exact post-execution token spend), Automatic Failover Routing (reroutes to next best within budget if primary fails), Interactive Model Explorer & Task Guides. Pricing: Guest 3 free recommendations/day no signup. Free account unlocks execution, query history, routing controls. Pay-per-use $0.26-$20/1M blended. Alternative to OpenRouter, Portkey, LiteLLM, Vercel AI Gateway, Helicone, Langfuse. Built for developers, teams and businesses tired of guessing which AI to use.

RevampKey is a desktop app with two kinds of AI teams. One builds your software. The others take over work that repeats. An AI product team for your code Describe what you want in plain words. A researcher, product manager, designer, engineer and QA hand the work to each other, the way a good team does. Research you can explore. Findings come back as an interactive report you can sort and filter, with a source for every claim. Every path mapped first. The happy path, the edge cases and the failures are drawn as a flow before any code is written. Screens you approve before any code. Point at any part of a screen and say what to change. Built in steps, each one checked. Every module has its own criteria and tests. QA clicks through it in a real browser, and each step is saved as its own reviewable commit. Works on code you already have. Open a repository and it maps the code before planning a change. It’s built on Code - OSS, so your VS Code habits carry over. Hire an AI team for the work that repeats Pick from 35 ready-made teams for SEO, legal, support, sales and finance, or create your own. Setup takes about five minutes. A real team structure. Each team has a lead and teammates with clear jobs, a schedule and a queue of work. You brief the lead, the lead plans the jobs, and the teammates do them until the work is done. Work at scale. Teammates can work through the rows of a table in parallel. For example, they can write and check one SEO page per keyword. Check-ins, not surprises. A team stops to ask before it continues, shows where the work has drifted from the plan, and never sends, posts or spends without your approval. Correct it once. Your edits become notes and skills that every teammate follows on every run. Skills are versioned, so you can see what changed. Teams in the gallery today: SEO pages, Support desk, Job applications, and 16 legal teams covering contract review, privacy compliance, legal pages, brand protection, open-source licences, company admin and breach readiness. Your tools, already wired in 888 connectors, including GitHub, Gmail, Slack, Stripe, Linear, Notion, Google Drive and BigQuery. You sign in once, and the agent can ask you to connect a tool when it needs one. A built-in browser for everything else. If a tool has a website, RevampKey can use it: it clicks, types and reads pages. When a step needs you, like signing in, it pauses and asks. Skills in the common SKILL.md format, with thousands of ready-made skills for connected tools. Schedules in plain English or cron. They stay correct across daylight-saving changes. A searchable model picker with models from many AI companies, plus a setting for how much each chat thinks before it answers. Private by default Plans, specs and reports are saved in your own project folder. Nothing you do is used to train models. Tokens for connected tools stay in your operating system’s keychain.