01
Coordination is the interface
Agents fail at the seams. lu.computer makes routes, handoffs, and control flow first-class so multi-agent work stays operable.
Coordination & routing layer
Orchestrate agents.
Ship reliable systems.
lu.computer helps AI product teams plan, route, and hand off multi-agent workflows through a usage-based control plane—so coordination stays composable instead of brittle custom glue.
route(agent_a)
.when(success)
.handoff(agent_b)
.on(failure).retry(2)
Orchestration console
Route →Handoff
PlanRoutesAgentsLogs
Search agents or routes…
agent_asummarizerlong-term-memory
Content Workflow
6 agents · 12 routes · Healthy
98.7%
Plan Routing HandoffsComplete
Completed
All handoffs executed.
Routing…
Evaluating next best agent.
Handoff failed
Memory agent unavailable.
98.7%
Success rate
842ms
Avg. latency
24
Active routes
Built for AI product teams
When multi-agent work gets fragile, you need a control plane—not another demo framework.
02
Reliability over theater
Production systems need retries, failure paths, and visible status—not demo-only agent chains that collapse under real load.
03
Composability without a cage
Fit the stacks you already ship. Route between agents you own instead of rebuilding orchestration infrastructure from scratch.
How it works
Plan. Route. Handoff. Rely.
The wedge is narrow on purpose: multi-agent coordination and routing for startups shipping agents into products and internal ops.
- 01
Plan
Define the workflow graph: which agents own which stages, and what success looks like at each boundary.
- 02
Route
Send work to the right agent with explicit conditions—not hardcoded if/else sprawl buried in scripts.
- 03
Handoff
Pass context cleanly between agents. Observe failures, retry policy, and completion as system state.
- 04
Rely
Run the same coordination path in product and ops. Treat multi-agent control like modern cloud services.
Technical honesty
Visible mechanics. No black boxes.
Status, routing state, and handoff outcomes stay legible. Builders can see where work moves, where it stalls, and what to fix next—without pretending agents are magic.
Systems calmEditorial minimalSignal in color
active
agent_a
routing
next_best
complete
handoff_ok
Who it’s for
Technical founders and early platform engineers shipping agents past the prototype.
Primary ICP: startups building AI products. Likely buyer: founding engineer or early platform/ML engineer. The trigger is simple—multi-agent workflows start failing at the seams.
Familiar breaking points
- Handoffs fail silently between specialized agents
- Routing is hardcoded and brittle under new workflows
- No clean control plane for multi-agent runs
- Single-agent frameworks stop scaling with the product
Early access
Make multi-agent systems as operable as modern cloud services.
Start with the orchestration console. Route work, inspect handoffs, and keep the coordination layer honest while the product surface expands.
Launch console
Usage-based orchestration · Builder-first