From conversation
to a pull request.

Keep the source conversation, the decision, and the resulting work together. You approve what starts and what ships.

A guided-import task moves from conversation to captured work, mobile approval, and a real GitHub draft pull request. Actual app recordings and GitHub screenshots use staged demo data, condensed timing, and added cursor cues. The demo PR remains unmerged.

Start with your public website. Bring a live delivery workflow when you are ready for a paid pilot.

Trusted by teams building real products

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Track what improves after the work ships.

Connect delivery to the outcome that matters. The example below illustrates how that feedback loop works.

Illustrative workflow with staged figures and experiment history.

Conversion lift+41%demo-to-close lift
Illustrative pipeline$124,000Example pipeline influenced
Example day13 / 13Evidence window complete
Revenue pathBefore and after ranked work
demo-to-close lift across the experiment windowDay 0D3D5D8D10D13Light Reach starts+41%
Before Light ReachRanked experiments

Keep the context attached to every decision.

Conversation, evidence, approval, and outcome—in one connected record.

Crawl completing a source-linked product scan with a query pack, detected sources, and run summary.
Site context mapped
Setmaker customer story
“We had demand from cultural institutions, but the public experience was not ready for those buyers until the story and controls caught up.”

Rupert, Setmaker

Read the Setmaker story
Crawl

Bring external evidence into the decision.

Connect site context and market signals to the work under consideration, with sources attached.

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Signal

Decide what deserves to become work.

Rank the next move using buyer evidence, expected impact, and current priorities.

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Compress

Carry approved work through to review.

Keep scope, code changes, and verification attached to the delivery—not just the original request.

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Revenue infrastructure

One execution loop from evidence to shipped outcome.

Crawl preserves the evidence. Signal ranks the decision. Light Reach turns the approved move into verified work, then feeds the measured result back into what happens next.

Setmaker example: a PostHog funnel shows a 24% relative lift in public-tour completion, linked back to the original customer signal.
Worked example
Setmaker public tourPostHog funnel
Human approval gates the workSources stay attachedNothing merges automatically
The path from conversation to code

Spoken intent.
Reviewable work.

Follow the guided-import example from the walkthrough above: one request, a scoped engineering task, and a draft pull request you can inspect.

  1. 01
    Voice → task

    Capture the intent

    The recorded walkthrough starts with a request to recover a failed import without losing the workspace.

    Demo request

    Retry the import. Keep the original workspace.

  2. 02
    Task → relevant work

    Find the right work

    A task needs evidence of relevance and ownership. In this demo, supplied repository context identifies the saved import checkpoint.

    Staged repository context

    Existing workspace + saved checkpoint

  3. 03
    Relevant work → engineering task

    Make it engineering-ready

    The scope makes the intended behavior reviewable: recover the import, preserve existing rows, and avoid duplicates on retry.

    Completion criteria

    Preserve rows · retry safely · reject invalid checkpoints

  4. 04
    Approved task → pull request

    Produce a reviewable PR

    After approval in the staged app sequence, the film shows a separately prepared draft PR with example code and tests—not an automatic merge.

    Real demo PR, prepared separately

    Draft, unmerged · two recorded unit tests passed

Recorded product demo with staged app data. The real draft PR was prepared separately for filming; this is not a live autonomous run or a customer outcome.

Inspect the recorded example
Source request
Recover a failed guided import without losing the workspace.
Evidence supplied to the demo
The existing workspace identity and saved import checkpoint. This is fixture context, not a measured live retrieval result.
Recorded verification
Two unit tests passed for the isolated example: recovery with repeated retry, and invalid checkpoints. This is not a production import feature or independent quality review.
Review status at recording
A real GitHub draft PR, unmerged, prepared separately for the film. App approval and running states use staged data.

Recorded September 7, 2026. Playback timing is condensed. No claim of autonomous end-to-end completion, production deployment, or measured time saved.

Evidence, in the open

How we check the work.

Separate development evaluations

Historical task scores use GPT-5.4; current-model validation is pending. These checks are not customer success rates or an end-to-end voice-to-PR score.

Task relevance

14/14 investigated cases passing all checks

Synthetic development testgpt-5.4-2026-03-05

Small, agent-authored fixtures—not real-world task accuracy.

Engineering enrichment

24/24 correct readiness decisions

Synthetic development testgpt-5.4-2026-03-05 · low reasoning

Readiness decisions—not independently reviewed plan quality.

Datacurve DeepSWE

64/113 full-cohort tasks passed (56.6%)

Separate Compress Cloud runArchived Compress Cloud coding run

Separate external coding benchmark—not a customer PR success rate or leaderboard comparison.

Turn one live delivery gap into a paid 30-day pilot.

Bring one active workflow with a clear approval owner. We scope the pilot around the evidence, decision, resulting work, and outcome that need to stay connected. Book a 20-minute pilot fit call.

Questions, answered plainly.

What happens after I submit my website?

Light Reach researches your public site and prepares context for your next conversation. Submitting a website does not connect private tools or approve any change.

What do I actually approve or reject?

A Product Decision: a living product document with scope, evidence, contradictions, and open questions pulled together from your site and conversations. You can approve, revise, reject, or defer it. Approval for specification does not authorize research outreach, code, merge, or deploy.

Who owns the workspace and its data?

A prepared workspace starts under Light Reach control. After you verify the invited email and claim it, you become the client owner. The sources, transcripts, and Product Decisions already created stay in that same workspace.

What can Light Reach access today?

The first preparation step uses only your public website. Calendar, analytics, or repository access is introduced later, in context, and requires an explicit connection or authorization.

Does approving the document ship code or merge a pull request?

No. Approving the Product Decision never silently authorizes research outreach, code changes, merge, or deploy. Each is a separate action.

What if I do not connect GitHub?

You can still capture the conversation and review the Product Decision. A prototype or engineering path can be discussed later, but Actionairy does not promise to clone a private product from its public website.