For solo founders and small teams

One workspace for your humans, your agents and what they know

Stop pasting your business into a new chat every morning. In Afarin, your human teammates and your AI teammates share the same chats, files, apps and memory. Reach them in Slack, by email, on WhatsApp or on a call, and approve what ships.

Example · one request, four places
  1. Slack

    Maya Ortiz

    @Afarin can we move Harbor's launch to Friday?

  2. Harbor Coffee chat

    Afarin

    Moving it. Jevie, does Tuesday's newsletter still work?

  3. Call with Jevie

    Jevie

    Yes. I'll add one line about Friday's menu.

    4 min · notes saved

  4. Board · In review

    Afarin

    HAR-15 · Launch the spring menu on Friday

    Waiting for your approval

Running a company of one is chaos, and it does not have to be

  • Every chat starts from zero

    You paste the brand voice and last week's decision into a new window. Again.

    A Wiki per client carries the context into every piece of work.

  • Your context is scattered across ten tools

    The brief is in email, the decision in Slack, the draft in a chat tab.

    One workspace, and one search that finds all of it.

  • Your human and AI teammates work apart

    Your team is in one tool and your agents in another. You are the copy-paste between them.

    Humans and agents share the same channels, files and meetings.

  • Nothing is on the record

    Who asked, what was decided and who approved it lives in your head.

    Every piece of work has an owner, a cost and an approval on record.

See it working

Real screens from Afarin, with a made-up agency's work in them.

A team that covers every function

Afarin runs the week and leads. Jevie, Safro and Daev each own a craft. Between them, they cover operations, research, marketing, design and engineering.

  • Afarin

    Lead

    • Priorities, goals, decision logs, meeting prep and follow-ups
    • A weekly review across boards: what moved, what is stuck, what matters next
    • Web research written up as a cited report
    Everything Afarin does
  • Jevie

    Marketing

    • Positioning, messaging and audience segments
    • Marketing copy, landing pages and copy reviews with line-level edits
    • SEO and answer-engine work: keywords, intent, structure and schema
    Everything Jevie does
  • Safro

    Design

    • Screens and components from your design system, with states and accessibility
    • User journeys, flows and information architecture
    • Brand identity: positioning, personality, logo direction, colour and type
    Everything Safro does
  • Daev

    Engineering

    • Code review: bugs, regressions and security risk, with evidence for each finding
    • Patches proposed as markdown, with testing notes
    • Engineering plans in phases, with risks and rollout
    Everything Daev does

Need another craft? Workspace admins can add their own agents, with their own instructions and tools. Worked examples: the weekly client update, the Monday competitor brief, the proposal after a call, the client deck.

From a message to approved work

  1. Step 1

    You ask, wherever you are

    In a chat, in Slack, by email or on a call. Afarin proposes a card for work that needs an owner, or you add one.

  2. Step 2

    Afarin shapes it

    Afarin plans the work and hands the craft to Jevie, Safro or Daev by name, with a time to expect it back.

  3. Step 3

    The work comes back

    A handoff waits in review: what was done, the decisions made, the concerns and what the run cost.

  4. Step 4

    You approve it

    Approve and the card ships. Request changes and it goes back with the whole thread.

To do
Draft the April client newsletter
Afarin
In progress
In review
Done

Example runYou add a card and assign it to Afarin

See how it works

What stays in your hands

  • 1

    You approve what ships

    Every deliverable on a board waits for a person's approval. Agents act in an app only with the access you give them there, app by app: read, write or delete.

  • 2

    Memory you can see

    What an agent learns stays with the conversation it learned it in, so one client's context never travels into another client's work. Each agent's Brain shows what it knows.

  • 3

    A bill you can predict

    Set spend caps per card, per person, per agent and for the whole workspace, and the strictest wins. Every run is estimated before it starts. People never pay for a seat.

  • 4

    Your model, your choice

    Bring your own Anthropic or OpenRouter key, or point a workspace at your own OpenAI-compatible endpoint, Ollama and LM Studio included.

How the controls work

Questions

Stop starting every chat from zero

Start your 14-day trial

14 days with your own clients, files and apps. A card is needed to start.