Configure an agent once, and it answers in chat, runs on a schedule, and takes steps inside a workflow.
What the job is, how to handle the parts that need judgment, which systems they get access to, and where they are expected to turn up. The difference is you write it once, and never repeat yourself.
A persona written once: the work it owns, how it should go about it, and what it must never do. It is prepended to every session that agent runs.
Reusable instruction sets it loads on demand, the moment it decides one applies. Write them once, attach them to as many agents as you like.
The specific systems it can reach, picked from the integrations you have already connected. Nothing outside that list, ever.
The same agent in chat, on a schedule, and as a step inside a workflow. Configured once, not rebuilt for each place it shows up.
A skill is a set of instructions for one piece of work, plus a line telling the agent when it applies, so it reaches for that skill only at the moment it is needed. Some of it is craft that travels between companies. The ones that matter most are the ones only you can write.
How the work is done well, ready to use as it is, duplicate, or rewrite to match your own way of working.
The house rules nobody has written down yet, and the reason the same questions keep reaching the same three people.
An agent reaches only the systems you grant it, and nothing outside that list. What it then does lands in the audit log: which agent ran, who it was working for, which systems it touched, and what came of it.
An agent's reach is picked from the integrations you have already connected. It cannot see a system that is not on its list, and it cannot add one to that list itself.
Agents are configured by admins and shared across the organization, so there is one definition of each rather than a dozen near-identical ones drifting apart. Take one out of service by disabling it, and nothing is lost.
Which agent ran, on whose behalf, what it reached for and what it changed. The account your auditors ask for, without anyone reconstructing it afterwards.
A workflow is a graph of agent steps, human approvals and actions in your tools. However you start one, it ends up on the same canvas, where you adjust it, version it and publish.
Pick from the library, fill in the project or space it should work in, and publish. A template unlocks as soon as the tools it needs are connected.
Describe the automation in plain language. Devtech Forge AI drafts the graph from the connectors you have connected and the actions they allow, and lands it on the canvas for you to adjust and publish.
Place agent steps, approval gates and actions in your tools on a visual canvas, and draw the arrows between them. Branching lives on the arrows, and the builder checks fields and placeholders before you publish.
A library of templates ships with every instance, grouped by who they're for, and it keeps growing. A template unlocks as soon as the tools it needs are connected; clone it, fill in the project or space it should work in, publish.
From alert or ticket to a reviewed pull request, with a human gate before implementation.
Answer what's known, escalate what isn't, and see the patterns.
Read the merged work and the customer signal, write the document, hand it to a person to publish.
The week, pulled from your systems before standup.
One platform: your tools, your knowledge, your rules.
Read more →A live, private understanding of what your company knows.
Read more →Gates, policies and an audit trail on every action.
Read more →A growing catalog of connectors for the tools you already run.
Read more →Deployed in minutes. Priced to the dollar.