What agents can do

An agent is not a chat box. It lives on a real computer, takes goals you write down, and produces files, reports, and other work product.

You leave a brief, a checklist, or a standing process. The agent works through it on its machine: reading your materials, gathering what it needs, building the deliverable, and reports out. You assign the work and review the results.

• Drafts & docs Memos, briefs, updates, and reports as real files
• Revisions Edits and rewrites against your comments
• Spreadsheets Tables, roll-ups, comparisons, status trackers
• PDF digests Search, summarize, and extract from long PDFs
• Web research Competitive notes and synthesis with sources
• Images Edit, annotate, and prepare visuals for decks
• Video Simple assembly and packaging for review
• PDFs & briefs Finished packets ready for legal, sales, or ops
• Slide decks Outline and build presentations from your notes
• Mail digests Sort, summarize, and draft replies when allowed
• Work reports Written trail of what it did and what it produced
• Chat & status Progress notes in documents and the live terminal
• Code & tools Write code, install packages, run builds and tests
• Build websites This site was built with an agent on a real machine
• Browser work Fill forms, scrape pages, check live sites
• Data & APIs Pull data, transform it, push results back

How they work

AI development has been heavily skewed toward coding, so agents often solve problems the way a programmer would. They write code and install applications and tools as they go, the same way a skilled person would use a computer. A serious agent needs its own computer so it can solve things its way.

Three surfaces matter day to day: Markdown documents (plans and results), the terminal (where the agent runs), and skills (how it knows to do a job).

Documents

Agents take instructions and report results mainly as Markdown: plain text with simple formatting rules. Plans, notes, and write-ups land in files both of you can open and edit in Interface. The format is so central that agents often store memories in Markdown files too.

# Q3 customer update

## Wins
- Closed **Acme** renewal
- Cut support backlog 18%

## Next
- [ ] Pricing one-pager
- [ ] PDF brief for legal▌

The terminal

Agents are programs that ask an AI questions in a loop: refine the problem, gather more data, act on the answers. That program runs in a terminal, the command line where software runs and systems are controlled. It is the same kind of direct, text-first surface people used on machines in the 1980s. An AI chat window is a wrapper that hides that complexity. Interface lets you see the agent in raw form when you need to.

Skills

A skill is how an agent learns a job: a written playbook (Markdown) plus the tools and steps it should use. Skills are a shortcut for an agent to learn how to do a task like Neo having kungfu skills uploaded directly into his brain. The community has thousands of skills ready to use and more are developed every day.

Skills are also where Resurgent services show up: we help you write and tune the playbooks so the agent does your process, not a generic one.

Safety

To be useful, agents have to be able to change things: install software tools, write files, call the network, use accounts.

Treat your AI as an eager to please human addicted to heroic doses of Adderall and meth, occasionally bath salts. 99.99% of the time it’s cool but be prepared for when it hallucinates, lies to your face, steals your crypto, erases your files, catcalls your mom, and staggers about with a knife.

Resurgent Technologies gives the agent a real computer (a secure environment with room to install tools and do the work) while your personal machine stays yours. When we host the agent, that means an isolated Linux system with its own email and chat accounts and the access you choose to allow.