Proto-Agent
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Scenarios

One platform, teams for every field

The same self-evolving core — swap the roles and the skills and you get another field’s team. Each of the four below comes with a screenshot from the product.

Content & growth

Topic picking and competitor research, chained

The topic scout lists this week’s angles, hands one to the competitor researcher, and the findings land back in the same conversation — nothing to relay by hand.

Current mission This week: three angles you can start on

A chat: the user asks the scout for three angles and to hand one to the competitor researcher; the reply lists the angles and then the pricing and gap findings returned by the researcher.
The scout lists angles, hands one to the researcher, and the findings come back inline

Roles

  • Scout Topics & trends
  • Researcher Rivals & pricing

Task chain

  1. Scout

    Cut three angles to “one person, one situation”, then dispatched one of them.

    hand to researcher
  2. Researcher

    Went through eight tools’ public pricing pages and marked the rest “unverified” instead of inventing numbers.

    read 8 pricing pages

Example output

  • Three angles with a recommended hook
  • A pricing and gap table
Own assets

The work ends, the method stays

What a member does settles into its own skills, knowledge and memory: how it works, what it learned, and what you prefer. Next time it calls them up instead of relearning.

Current mission Long run: one person running a team with memory

An agent assets page with total assets, runtime, model and status above tabs for prompt, skills, workflows, knowledge and memory; the skills tab lists competitor-watch and hot-topic-scan with descriptions.
A member’s own assets: skills, knowledge and memory filed under its name — readable, editable, portable

Roles

  • Scout Topics & trends

Task chain

  1. Scout

    Turned “scan the platforms, keep only angles that land on a person” into a skill.

    wrote hot-topic-scan
  2. Scout

    Saved the conclusions, wording rules and sourced judgements as knowledge to look up later.

    wrote knowledge/

Example output

  • Skills: reuse the method directly
  • Knowledge: searchable, editable
  • Memory: never repeat yourself
Grouped teams

A few members, a few groups

Group them by function — content, delivery, research — and switch with one click to see who is on what.

Current mission Day to day: several tracks in flight, none bleeding into another

The agent catalog: tabs for all, content growth (4), product delivery (3) and market research (2), above member cards with name and remit.
The catalog: group tabs plus each member’s remit; open one and it starts

Roles

  • Scout Topics & trends
  • Writer Posts
  • Analyst Data & iteration
  • Planner Specs & acceptance
  • Researcher Rivals & pricing

Task chain

  1. Scout

    The content group opens the week with angles, handed to writing.

  2. Analyst

    At week’s end it pulls the numbers and says what to change next.

Example output

  • Group tabs: switch by function
  • A remit per member

Want a team of your own?

Free download, runs locally, data stays on your machine.

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