The platform for AI Operations.
Build AI infrastructure that compounds, not work that disappears.
Right Now
AI operations need multiple capabilities - and those capabilities are a moving target. Claude or ChatGPT for chat. Google Docs for prompts. Zapier for workflows. Work stays isolated. Nobody can build on what someone else created. Nothing compounds.
Chat
Multi-model interface (ChatGPT, Claude, Gemini and more). Switch mid-conversation. Fork threads to test different approaches.
Prompts
Version controlled components. Deploy to chat, workflows, APIs. Build once, use everywhere.
Workflows
Chain components into automated processes. Add logic, human-in-the-loop steps, integrations.
Playgrounds
Test prompts across models side-by-side. Compare outputs before you deploy.
Why Aisle
- •Built for teams: What one person builds, everyone deploys. Work compounds across your organization.
- •Build once, use everywhere: Create a prompt. Deploy it in chat, workflows, and APIs.
- •Compounds: Prompts become building blocks. Blocks combine into workflows. Your capability grows.
- •Model-agnostic: Use OpenAI today, Anthropic tomorrow. Switch providers without rebuilding.
- •Your infrastructure: Your operational logic lives in systems you own, not vendor accounts you rent.
- •Future-proof: New models launch quarterly. Your platform grows with the ecosystem.
Ready to build AI infrastructure that compounds?
Own Your Infrastructure
You're building AI into core business operations. Customer support. Document processing. Research. These aren't experiments anymore—they're how your business runs.
When you're replacing core processes, you can't be dependent on any single vendor. Your operational logic needs to be yours. Build on infrastructure you control, where your prompts and workflows work across any provider.
Build Future-Proof
GPT-4 was state of the art. Then Claude beat it. Then Gemini got cheaper. New models launch every few months—better, faster, cheaper.
Build on infrastructure from the start. Companies building on infrastructure swap the model and keep working. Your operational logic, the actual business value, stays intact regardless of which vendor wins. Models are interchangeable components, not foundations. This is how you build AI operations that last.
The Factory Approach
Everyone's betting on AI agents—autonomous systems that figure out your business. That's a gamble on AGI timelines and intelligence you don't control.
The factory approach is different. It's a methodology for breaking down your business processes into manageable pieces. Take customer support: don't treat it as one monolithic AI task. Break it into units - analysis, routing, response generation, escalation. Each unit does one specific job. Test each piece independently. Then chain units together into production lines. When something breaks, you know which unit. When something works, you reuse it. Units compound into sophisticated systems. Build momentum and Infrastructure while your competitors run failed experiments.
Core Features
Everything you need to build, deploy, and scale AI operations
Multi-Model Chat
One interface for your whole team to interact with all leading AI models. Stop managing multiple subscriptions.
Reusable Prompts
Build reusable AI components that your whole team can use. Deploy to chat, API, or workflows.
Interactive Workflows
Build complex AI processes without code. Chain prompts, integrate systems, and automate decisions.
Playgrounds
Test prompts across all models simultaneously. Compare iterations side-by-side.
Start building AI operations today
Join teams who are building AI infrastructure that compounds