Tesseres · Integrations, workflows & AI agents

Integrations, workflows and AI agents, moving.

System integrations, business workflows and AI agents on one engine, in real time or near real time. What you are watching is a single run: it starts on a trigger, loops over its work, branches on a condition, waits for a person — and only then reaches the systems on the other side.

Three jobs, one engine

A workflow, an integration and an AI agent are the same shape

The workflow part

A trigger starts a run. A loop repeats part of it. A branch takes one path or the other. A person approves. The run ends somewhere explicit.

The integration part

A broker carries the messages. A translator reshapes them. A content-based router picks the destination. A failed call falls to a dead-letter path and can be replayed.

The AI agent part

An agent reads, decides and calls tools, inside the same run: its steps are kept, its calls leave through the same outbox, and anything it wants to change waits at the same approval gate.

Tools usually make you choose one and bolt the others on. Drawn together they are obviously the same machine — which is the point of watching it rather than reading about it.

Eleven quality pillars

All eleven, not a favourite few

Reliability

Every accepted message reaches its destination or is kept for review. Nothing is dropped in silence.

Security

Every caller signs in, every company is walled off, every change is audited.

Scalability

More work means more workers, not rewritten flows.

Maintainability

Small, readable flows the next person can change safely.

Availability

No single place whose failure stops the work.

Resilience

A failure takes a path of its own: retry, dead letter, replay.

Supportability

Any run can be found, explained and fixed from one console.

Observability

You can see where every message is, and why.

Operational excellence

Routine work is automated, so people spend their time where judgement is needed.

Testability

Every change proves itself in a test company before it touches a real one.

Performance

Real-time paths stay fast, and heavy work never blocks them.

Every part of Tesseres is designed, built and reviewed against the same eleven pillars. Most tools are strong on a few and trade the rest away; we would rather you never had to choose.

The demonstration

One run, start to finish

Not a diagram of a pipeline — a pipeline running. Messages travel the wires, the loop repeats, the branch chooses, and everything stops at the gate until someone lets it through.

An animated diagram of one run: a trigger starts it, a loop repeats part of it, a branch splits it in two, and messages queue at a human approval gate until a person releases them.

The run, in order:

  1. A run starts at a trigger: a schedule, an inbound webhook, an event, or a person starting it by hand.
  2. The trigger publishes the work to a message broker.
  3. A durable workflow takes it from the broker and holds its state for as long as the work takes.
  4. A loop step takes the collection one item at a time.
  5. Each item passes through a message translator, which reshapes it, and returns to the loop step for the next one.
  6. When the collection is finished, the run reaches a branch, which tests a condition and takes one of two paths.
  7. On the "no" path there is nothing to send: the run finishes there, at an explicit end.
  8. On the "yes" path a content-based router chooses which branch the message belongs to.
  9. Both branches stop at a human approval gate. Messages queue there, and nothing reaches the outside world until a person approves them.
  10. Approved messages pass to connectors, which call the external systems.
  11. A call that fails is sent to a dead-letter path, and can be replayed back through the broker.

Scale: One workflow, spread across parallel workers: messages fan out, run at the same time, and converge again.

Switch the view to see the same run spread across parallel workers, carried over interchangeable transports, or deployed somewhere else entirely.

Real time and near real time

Live streams and queued work, on the same routes

Some work cannot wait: a price, a stock level, a call being transcribed. Some work should not rush: a nightly batch, a bill waiting for approval. Tesseres carries both on one engine.

Real time

Streams for what must arrive now, delivered as it happens.

Near real time

Durable queues for what must arrive for certain, in order, even after a restart.

Dynamic router

Each message’s destination is chosen while it runs, from where the receivers are and whether they are healthy. Traffic moves away from one that falls over, without redeploying the flow.

Humans stay in control

The pause is the product

Every change to the outside world queues at an approval gate and waits. Not a setting, not a mode — the only way through the gate is a person deciding to open it, and you can do that yourself on the canvas.

When it goes wrong

Failure is a path, not an exception

A call that fails is not lost and does not silently retry forever. It takes the dead-letter path, where it can be inspected and replayed back through the broker — the same route it would have taken the first time.

Three views

The same run, somewhere else

Scale

One workflow, spread across parallel workers: messages fan out, run at the same time, and converge again.

Portability

The same flow over interchangeable transports. The layer underneath is swapped; nothing above it changes.

Residency

The same workflow, deployed inside a datacentre, on your own premises, or on a single laptop. Only the boundary changes.

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The depth belongs in a conversation rather than on a public page. If this is the shape of a problem you have, we read our messages.