Agentic AI overview
Agentic AIgraph-based
Agentic AI in TwinGP is for work that needs more than a single agent reply or a fixed linear automation: multi-step plan → act → check → retry loops under clear human guardrails.
How agentic graphs work
Users who know will recognise the idea of composing AI components into graphs — chains, agents, tools, and memory — to build agentic behaviour. TwinGP’s Agentic AI capability builds on that graph-based foundation so complex processes can:
- Break a goal into steps
- Call tools and models
- Inspect intermediate results
- Retry or branch when something fails
- Stop for human oversight when rules say so
How it differs from other pillars
| Pillar | Best for |
|---|---|
| AI Agents | A published specialist with tools + knowledge |
| Agentic AI | Rich multi-step agentic graphs and adaptive loops |
| Agentic AI Automation | Reliable always-on triggers and deterministic steps with AI inside |
See When to use for choosing the right surface.
In the product
Agentic AI is part of the TwinGP platform story (including hosted agentic experiences). Availability in your workspace depends on deployment and feature flags — your admin or TwinGP support can confirm access. Documentation here describes the capability and how it fits the product.