Agent

A single agent answers prompts. Agentᴺ raises autonomy to the power of n - self healing networks of specialised agents that reason, delegate and orchestrate every API in real time.

BYOK · BRING YOUR OWN KEYS · ZERO-CONFIG NATIVE · FROM N8N TO MAKE · STATIC NODES TO AGENTᴺ IN 1 CLICK

AGENT TO THE POWER OF NRead the thesis ↓

01 / The exponential law

Linear automation adds steps.
Agentᴺ multiplies capability.

n = 1

One agent, one thread

A model stuck in a chat window. Fragile context, manual copy-pasting, and brittle webhooks that break the moment an API schema shifts.

n = k

Autonomous swarms

Agentᴺ splits one objective into parallel sub-graphs. Planner, researcher, builder and verifier agents run together and check each other’s work.

n → ∞

Compounding execution

Millions of use cases for everything you can imagine. Bring your own keys, or run on Agentᴺ’s native frontier compute with zero setup.

02 / FAQ

Frequently asked questions

Traditional automation scales linearly: every new edge case needs another manual rule. Agentᴺ scales exponentially. You define the outcome, and it spawns n specialised agents that plan, route across APIs, inspect failures and self-heal until the goal is done.

Yes. Connect keys from OpenAI, Anthropic, Google Gemini, OpenRouter or a custom endpoint for full control over models, rate limits, privacy and token costs. Or skip setup entirely and use the native option, with frontier models and integrations included.

Those are deterministic pipelines: if step three gets unexpected data, the run fails. Agentᴺ workflows reason over live context, rewrite queries, recover from errors and delegate work on the fly.

No. If you can explain the job to a new colleague, you can build the workflow.

Millions of use cases for everything you can imagine: code triage, market intelligence, revenue operations, customer resolution and custom API orchestration.

Judgement calls. Agentᴺ handles the repetitive work and brings you in for sign-off when a decision matters.

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