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Use cases

Delegate the work. Watch it get done.

Alumia is built for one motion: you hand off an outcome, and the work moves forward on its own. Here are concrete, everyday workflows the same loop makes possible.

  1. You delegate

    State the outcome in plain language.

  2. Work executes itself

    Agents plan, use tools, and act across steps.

  3. You review & steer

    Check results, approve, adjust course.

The loop repeats — each pass moves the work forward without you driving every step.

What you can hand off

One loop, many kinds of work

Every example below is generic and illustrative — swap in your own goal. Each maps to real Alumia surfaces working together.

Research & synthesis

Turn a broad question into a sourced briefing

You delegate
“Research the current landscape for X and give me a briefing with the key players, trade-offs, and open questions.”

Alumia does it

  • Breaks the question into angles and searches across them
  • Reads sources, extracts claims, and cross-checks them
  • Composes a structured briefing on the canvas you can edit
  • Autonomous agents
  • Composable canvas
  • Real-AI chat

Ops & monitoring

Keep an eye on a system and flag what matters

You delegate
“Check these endpoints every hour and tell me only when something looks off.”

Alumia does it

  • Runs the check on a recurring schedule, unattended
  • Compares each run against the expected baseline
  • Surfaces a summary when a threshold is crossed — stays quiet otherwise
  • Scheduled & recurring work
  • Autonomous agents
  • Plugins

Coding tasks

Hand off a scoped code change end to end

You delegate
“Add the validation this form is missing, write a test for it, and confirm the suite is green.”

Alumia does it

  • Plans the change and edits across the relevant files
  • Writes a regression test and runs the checks
  • Reports back with a diff and the results to review
  • Autonomous agents
  • Real-AI chat
  • Plugins

Docs & spreadsheets

Draft and reshape documents and sheets

You delegate
“Clean up this spreadsheet, add the columns I need, and draft a one-page summary of the trends.”

Alumia does it

  • Recomputes formulas and normalizes the data in place
  • Adds the requested fields and fills them consistently
  • Lays out a summary doc beside it on the canvas
  • Composable canvas
  • Autonomous agents
  • Real-AI chat

Scheduled digests

Get a standing digest without asking each time

You delegate
“Every morning, pull together what changed across my tools and send me a short digest.”

Alumia does it

  • Gathers updates from connected plugins on a set cadence
  • Synthesizes the changes into a concise, scannable digest
  • Delivers it on schedule and keeps a history you can revisit
  • Scheduled & recurring work
  • Plugins
  • Composable canvas

How it works

From goal to done in three steps

The same delegate-then-execute loop underpins every use case — you set direction, Alumia does the driving.

  1. Step 01

    Delegate the outcome

    Describe the result you want in plain language. No rigid forms or scripting — just the goal and any constraints that matter.

  2. Step 02

    Work happens on its own

    An agent plans, uses your connected tools, and executes across steps — on demand or on a schedule — checking in only when it needs you.

  3. Step 03

    Review and steer

    See the results in chat or on the canvas, approve what matters, and adjust course. Re-delegate and the loop keeps moving.

Explore the features behind it

Delegate your first outcome

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