Clear tasks first
Tasks must be checkable.
It will not turn an open-ended prompt into uncontrolled background work. The task graph begins with explicit units that can be independently evaluated.
Roadmap: Fusion Swarm
Work in parallel. Return one answer.
Fusion Swarm is a planned way to split suitable work across several models, check their results, and return one answer. Your client does not need to coordinate the models itself.
Fusion works when your TEKIZ.AI installation has enough healthy model capacity. Fusion Swarm is still on the roadmap and is not yet generally available.
How work movesRoadmap
01 / plan
Explicit work
Break only independently checkable work into a task
graph.
Research model
Implementation model
Review model
03 / verify
One final answer
A separate model checks the result before it returns.
The operating model
A swarm should reduce coordination work, not create it.
TEKIZ.AI coordinates the models. Clients submit one request and receive one answer, while your settings control which models may run each part.
Use the right model
Availability comes before parallel work.
TEKIZ.AI checks health, provider access, capability, cost, speed, concurrency, and local memory limits before assigning work.
Verified output
Specialists do not speak directly to the client.
One model reviews the work and returns the final response. When possible, it differs from the model that did the original work.
What works today
Fusion exists today. Swarm extends it.
Available with enough model capacity
Fusion
Fusion splits suitable work, selects available models, and checks the result before returning one response through the normal OpenAI-compatible interface.
tekizai/fusionprofile- Optional frontier planner
- Parallel tasks with a final review
- Hosted access only when the status surface reports capacity
Roadmap, no public release date
Fusion Swarm
Swarm adds more detailed planning, specialist roles, extra review, and one final response while keeping the same routing and safety limits.
- Network-wide role selection
- Clear handoffs between models
- Fixed budgets and concurrency limits
- Opt-in Community capacity where it is attested and approved
Trust before throughput
More routes do not mean fewer boundaries.
Fusion Swarm is designed for a mixed network of cloud, local, and eventually Community capacity. It does not turn personal subscriptions into shared capacity or bypass a host's safety limits.
Customer authorization: work stays within the
provider access and route policy the deployment is authorized to
use.
Local resilience: a constrained Ollama node keeps
one approved model resident at its configured concurrency.
Community is opt-in: private-alpha Community work
requires the customer's permission, a verified online node, and a
separate model checking the result.
One accountable response: each model contributes
its part; the client receives one reviewed answer with the usual
routing details.
Build with the current system