exployt.ai
Summary
Juggling Claude for architecture, GPT for code generation, and Gemini for review — in separate browser tabs, with no shared context — is the tax most developers pay for running multiple AI providers. exployt exists to eliminate that tab-switching overhead by putting all of them under one interface.
exployt is a multi-AI orchestration platform built specifically for software developers who need to run coding agents from Anthropic, OpenAI, Google, and local models in parallel rather than in sequence. The core workflow lets a single developer assign tasks to multiple agents simultaneously, monitor their progress, and ship output without context-switching between provider dashboards. The product is in Early Access, which means the feature surface is still forming — vendor documentation confirms this explicitly. Teams that need stable, battle-tested orchestration for production systems will feel that immaturity. At this stage, exployt fits exploratory workflows better than it fits pipelines where a Monday morning spike cannot break anything.
Bottom line: Pick exployt if you are a solo developer who wants to coordinate Claude, GPT, and Gemini on a single codebase without managing three API integrations — and plan for something more mature the moment your team needs audit trails, SLA guarantees, or a self-hosted deployment.
Pricing Plans
SubscriptionLast verified 2 weeks ago- Price
- €50/mo or €100/mo
- Free Tier
- Free trial with full feature access through end of August 2026, no payment method required
Free Trial
Free trial with full feature access, private non-commercial use
- Full feature access
- No payment method required
- Valid through end of August 2026
Private
For education, hobby & private use. Uncommercial private use only.
- All features available
- Private non-commercial use
- Per seat pricing
- Annual saves ~25% vs monthly
Professional
Full power for professionals. Commercial use rights for individuals & freelancers.
- Commercial use rights
- For individuals & freelancers
- Lifetime access option (u20ac900 one-time)
- Per seat pricing
- Offer valid until end of August
View full pricing on exployt.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Parallel agent execution across Claude, GPT, Gemini, and local Ollama models from one interface, so a developer avoids maintaining three separate API integrations and three separate context windows for the same project.
- Provider-agnostic design means swapping one model for another — say, routing a task from GPT to Claude when output quality misses — does not require rebuilding the surrounding workflow.
- Single-developer scope is a deliberate design choice, so the interface is not cluttered with enterprise team management overhead that slows down individual contributors trying to ship fast.
- Local model support via Ollama runs alongside cloud providers, which means cost-sensitive tasks can be offloaded without leaving the orchestration layer.
Cons
Sign in to edit- The product is in Early Access, which means production-critical workflows — anything where an agent failure at 2am needs a documented escalation path — have no SLA to stand on. Teams shipping to paying customers will hit an undefined stability ceiling before they hit a feature ceiling, and the next step is a more mature platform.
- No self-hosted deployment option exists for exployt itself. Teams with data residency requirements, regulated environments, or policies against sending code context to third-party SaaS infrastructure cannot use this tool at all — and switch to self-hostable alternatives the moment compliance asks the first question.
- The frontend is built on Blazor WebAssembly and requires JavaScript to function. Any automated pipeline, internal tool, or CI integration that needs to interact with the exployt interface programmatically runs into this wall immediately — the fallback is a plain-text summary at /llms.txt, which is not a substitute for a proper API.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-06-30T16:35:19.999Z
Best For
Who it's for
- Developers managing multiple AI providers
- Users seeking automated model selection for cost savings
- Teams building production AI agent systems
- Individuals needing provider-agnostic orchestration
What it does well
- Multi-model AI workflow orchestration
- Cost-optimized task routing across providers
- Building and deploying scalable agent-based automations
- Running Claude, GPT, Gemini and local models together
Discussion Community
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Frequently Asked Questions
- Is exployt.ai free?
- exployt.ai has a permanent free tier alongside paid upgrades (paid plans from €50/mo or €100/mo). You can keep using a baseline version indefinitely without paying.
- Is exployt.ai open source?
- No — exployt.ai is a closed-source tool. Source code is not publicly available.
Hours Saved & ROI Stories Community
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Curated lists that include this category
Managing AI coding agents across providers becomes a coordination problem fast: different API keys, different context windows, different billing dashboards, and no shared view of what each agent is actually doing. exployt addresses this by giving developers a single interface to launch, assign, and monitor multiple AI coding agents in parallel — connecting Anthropic Claude, OpenAI GPT, Google Gemini, and local models via Ollama from one workspace. The core workflow is task-level: a developer describes what needs building, exployt routes it to the appropriate agent or runs agents in parallel, and results surface back in one place.
The differentiating bet exployt makes is on parallel agent coordination rather than sequential chaining. Most LLM workflow tools process one model call, wait for output, then decide what to call next. exployt’s model, as described by the vendor, assigns work to multiple agents simultaneously — which collapses wall-clock time on tasks that can be decomposed. For a developer running a code review agent alongside a code generation agent, that parallel execution is the architectural difference that matters.
The product is in Early Access, which is not a soft caveat — it means the feature surface, stability guarantees, and documentation are all incomplete. The vendor’s site runs on Blazor WebAssembly and requires JavaScript; teams doing automated tooling or scraping integrations against the platform will hit that dependency immediately. Self-hosting is not available for exployt itself; only third-party models like Ollama can be run locally, which means all orchestration state runs on vendor infrastructure. Teams with data residency requirements or air-gapped environments have no path forward here.