Actionairy

An AI teammate for
product and engineering.

Find the work that can grow your revenue. Actionairy connects People, Market and product evidence to AI agents that investigate opportunities and advance approved changes. Continue in private voice conversations and practice your next buyer discussion.

Illustrative workspace and sample data. Read current capabilities and proof.

Voice and Memory

Continue a natural microphone conversation, save its private transcript, and review the exact statement before adopting it into Work.

Private Buyer Practice

Practice discovery and objections with a labeled buyer simulation. Review grounded coaching and a focused retry exercise.

People and Market

Review prepared conversation suggestions and qualified Market readings. Background recovery preserves useful items while preparing replacements.

Actionairy by Light Reach

An AI teammate for
product and engineering.

Bring your company context. Investigate what matters, choose the next action, and keep the evidence attached as work moves forward.

Investigate opportunities

Give the next idea a proper investigation.

Connect company context and market evidence. Inspect research where business and engineering agents examine sources, alternatives, and unanswered questions.

Sources · research transcript · open questions
Choose worthwhile work

Make the value and tradeoffs visible.

Review expected benefit, effort, costs, downside, and uncertainty. Keep the assessment and your corrections connected across decisions and Work.

Value assessment · alternatives · forecast history
Catch product problems

Keep checking your product automatically.

Discover public journeys from company and repository context. Check desktop and mobile daily; reproduced failures become proposed Work with private evidence and a fix brief.

Reproduction steps · screenshots · proposed fix
Review and improve changes

Make the critique part of the work.

Inspect written PR critique, cited findings, and repair history in Actionairy and GitHub. Approved review findings can return to an engineering writer for repair and fresh review within the authorized budget.

Written critique · repair history · fresh review

Work recommends a finding and specialist to talk with. Choose “Talk it through” to start a private voice conversation grounded in that finding and its evidence. Reuse saved voice profiles and review speaker assignments. Practice a buyer discussion, inspect Market readings, and find People suggestions grounded in your authorized history.

Explore capabilities and current proof

You approve implementation and release. Browser checks cover public HTTPS journeys; expected value remains an estimate.

Explore automatic website checks

Findings, decisions and progress stay visible in Needs you, Running and Complete. You choose when to start a conversation.

[01] HOW IT WORKS

From evidence to a worthwhile next action.

Investigate the opportunity, inspect the tradeoffs, and review the work before it starts.

01

Collect relevant company context

Start with customer conversations, product evidence, repository context, or a relevant market question. Keep the original source attached.

02

Investigate and compare alternatives

Examine sources, contradictions, expected benefit, effort, costs, and uncertainty before choosing an intervention.

Buyer: setup feels risky
PostHog: activation drop
Crawl: competitor changed CTA
03

Review the proposed next action

Carry the assessment into a scoped proposal with acceptance checks. You decide whether implementation and release are authorized.

Workspace import specProduct
Implementation-speed emailSales
Pricing page experimentGTM
[02] SIGNAL EXTRACTION

Find the product and GTM signal inside the call.

Actionairy preserves the source conversation, then extracts the buyer pain, objections, urgency, ICP patterns, pricing feedback, feature demand, and follow-up intent hiding inside it.

  • Buyer pain and repeated language
  • Objections, urgency, and decision criteria
  • Feature demand and implementation blockers
  • Follow-up intent with source context attached
actionairy · source conversation
Example
Buyer00:32

Setup feels risky without implementation help.

Founder00:45

What would make this easier to approve?

Buyer01:12

Show value in the first week and this becomes urgent.

Source attached3 signals detected
[03] EVENT-DRIVEN RANKING

Keep investigating as company context changes.

Scheduled sweeps and material activity revisit company evidence and unresolved questions. Source-linked research and revisioned value assessments make changed reasoning visible for review.

  • Call events from customer and sales conversations
  • Product events from analytics and session data
  • Market events from intermittent Crawl runs
  • Human approval before high-impact work moves forward
actionairy · ranked signals

Implementation speed is the buying trigger

High
G
GTM
94% evidence

Self-serve import is the highest-leverage product move

High
P
Product
91% evidence

Security objection needs stronger sales artifact

Medium
S
Sales
88% evidence
[04] ARTIFACTS & EXECUTION

Prepare work your team can review.

Carry the source, expected outcome, scope, and acceptance checks into proposed Work. Inspect written PR critique, cited findings, and repair history; approved findings can return for a repair and fresh review within budget. Repository access, implementation approval, and release remain explicit decisions.

  • Follow-up emails and sales objection docs
  • Linear specs and acceptance criteria
  • Landing page and onboarding experiments
  • PR critique, repair history, and fresh review through Compress
actionairy · generated artifacts

Generated from signal

▣SpecLinear
✉Follow-upCRM
◎BriefGTM

Connected context

LinearSlackCRMPostHogCrawl