Build a system for the work you repeat.

Amphra is building a foundation for AI workflow automation. Organize the work. Keep what you learn. Improve what comes next.

Request a private preview See a workflow take shape

Market researchAn input, a clear task, and a result to build on.

InputCompetitor research notes3 competitors · supplied notes

AI taskCompare the marketComplete

Keep assumptions separate
from what the notes actually say.

100%

Scripted product demonstration

A foundation for everyday work

Your contextA clear processAI-assisted workVisible resultsWork to build on

Start with a task. Give it a process.

Market researchAn input, a clear task, and a result to build on.

InputCompetitor research notes3 competitors · supplied notes

AI taskCompare the marketReady to work

Keep assumptions separate
from what the notes actually say.

100%

Describe the job and the result you need.

Scripted product demonstration · Illustrative workflow · No customer performance claim

Start with the work that keeps coming back.

Market research

Turn competitor notes into a comparison you can keep building on.

Supplied research → findings and evidence gaps.Explore this example

Form response preparation

Prepare the answers without losing track of what still needs checking.

Company details → responses ready for review.Explore this example

Weekly reporting

Turn the week’s updates into progress, blockers, and next actions.

Working updates → an operations report.Explore this example

Illustrative use cases with supplied text. Browser form filling, live web research, and scheduled runs are not available in this preview.

Make your work compound.

YYouin Market research

Make the next research step specific.

Updated the research · previous revision kept

Keep the context, the result, and the changes—so the next step builds on the work before it.

Give the work a structure you can manage. Connect the inputs, tasks, and outcomes on one canvas.

Manage the workSee the process as well as the result

Give AI a clear job to do. Provide the context, define the outcome, and inspect the result.

AI within the workYour judgment stays in the process

Keep questions in view. Ask Amphra to separate what the notes say from what still needs checking.

Make uncertainty visibleA useful draft still needs review

Turn what you learn into the next improvement. Refine the task and its result through conversation.

Work that compoundsKeep useful context as the work develops

Revisit an earlier version. Browse your canvas history and restore a past revision.

Room to change your mindPrevious work remains available

Your workspace lives on your Mac. Canvas content and history are saved locally. AI requests use a connected provider.

Local workspace, connected AIPrivate preview for Mac

Start with the work you repeat.

What is Amphra?

Amphra is a Mac workspace for organizing recurring work with AI. Keep source material, conversations, text results, and revision history together on a canvas. The private preview focuses on text work; the longer-term direction is a foundation for repeatable AI workflows.

See current product progress →

Can Amphra automatically fill web forms?

The current preview can help prepare form responses from company details and questions you supply. It does not enter or submit those responses in a browser. For an end-to-end workflow, start by checking whether the destination supports an import, API, or browser automation tool.

How to automate data entry from Excel to web forms →

Can I use AI for recurring market research?

Start with a specific question, dated sources, and a consistent comparison. Amphra’s current text workflow can turn supplied competitor notes into a brief and help revise it. Live web collection and scheduled research are not available in the preview.

How to automate competitor research with AI →

What does it mean for work to compound?

A useful run should leave more than an answer: keep the source context, the result, and the corrections that could improve the next run. In Amphra, canvas content and revision history make earlier work available to revisit. Turning those lessons into a tested, repeatable process is the goal behind Process-Centric Intelligence, or PCI.

Read the introduction to PCI →

How can I try Amphra, and where does my work live?

Amphra is in private preview for Mac. Tell us about a task you repeat so we can assess fit. Canvas content and history are saved locally on your Mac; AI requests use a connected model provider. The demonstration on this website is scripted.

Request a private preview →

What work would you like to automate?

Tell us what you do repeatedly, which tools it involves, and what a finished result should look like.

Amphra is in private preview for Mac. We’ll use your workflow to assess fit.