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Describe What You Need
Drop in an objective in plain language. Rhelm's lead agent decomposes it into a structured task tree with 2-3 execution plans, each with cost and time estimates.
Deploy agent fleets, route work to the right model, and validate every output before it ships. One infrastructure layer instead of five tools duct-taped together.
Live Board
Task state and agent status update in real time.
Two-Gate QC
AI judge + human review. High-quality work auto-approves.
5-10x Cheaper
Adaptive model routing sends each task to the cheapest model that meets quality.
Outcome Snapshot
Built for operators running real AI workload
Monthly Cost Comparison
Agents are optional. $79/mo flat rate per slot, unlimited usage, no token fees.
How It Works
Keep human control while agents handle execution. Plan quality and cost before you commit.
Drop in an objective in plain language. Rhelm's lead agent decomposes it into a structured task tree with 2-3 execution plans, each with cost and time estimates.
Compare strategies, edit task breakdowns, set budget caps. Agents don't touch anything until you say go. Full control, zero surprises.
AI agents work through the task tree while a judge evaluates every output. High-confidence work auto-approves via Two-Gate Validation. You review the rest.
Route results to teammates, spin up more agents, or let Pilotr manage it from your phone. One board for humans and AI working together.
Agent Swarm Builder
Define clusters, assign roles, and set trust levels. Rhelm's orchestrator routes work to the right agent automatically.
Group agents by function. Code, QA, Design, Research, each cluster works as a unit.
Everything in Rhelm is built to make AI executionobservable, bounded, and reversible.
Every agent runs in its own isolated environment. Agents can never access each other's data, tools, or outputs.
All user and agent inputs are validated and sanitized before processing. No injection attacks, no prompt leaks, no surprises.
Set spending caps per agent, per task, or per project. Agents stop when they hit the limit, not when your bill does.
API keys are never passed to agents directly. Smart routing handles authentication so your credentials stay locked down.
Agents only get access to the tools and data they need for their specific task. Nothing more, nothing less.
HTTPS on every endpoint, every request, every response. Data in transit is always encrypted, no exceptions.
Platform Features
A control layer for planning, execution, evaluation, and human approvals.
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Tasks flow through a familiar board. Backlog, in progress, review, done. Except the workers are AI agents, and every card shows cost, tokens, and quality scores.
AI generates 2-3 strategic plans for every objective with cost estimates and tradeoffs. You pick the approach, then agents execute it.
An AI judge scores every output. High-confidence work auto-approves. Everything else comes to you for review, revision, or rejection.
New agents start fully supervised. As they prove themselves through reviews, they earn autonomy, going from 100% oversight down to only flagged exceptions.
Every task automatically runs on the cheapest model that meets its quality threshold. Simple tasks use Haiku, complex ones get Opus.
Watch agents think and act in real-time. Full trace logs, tool calls, token usage, and cost tracking for every execution attempt.
The current alpha focuses on core orchestration with AI swarms. Pilotr conversational operator workflows are planned for a later release.
Pilotr is planned for a post-alpha release and is not part of the current demo scope.
Today, orchestration is handled by the standard Rhelm orchestrator and AI swarms.
Project creation, decomposition, review gates, execution monitoring, and orchestration quality controls.
Rhelm is your board of record for this alpha. Pilotr remains planned and will land after core orchestration milestones are complete.