Build without the archaeology.Close the execution loop.Ship with clarity.
Every artifact carries its source. From the initial signal to the merged PR — one unbroken trail of intent. No rebuilding the brief at handoff. Your agents work inside your actual stack.
Magic-link onboarding
The problem
Teams sign up, hit the password step, and 34% bounce before their first workspace. We lose them before we learn anything. We want an invite flow that feels like opening a door, not filling out a form.
Acceptance criteria
- Any teammate can be invited by email alone
- Invites deliver within 10 seconds of send
- Expired invites (7 days) surface a resend CTA
- Rate-limit: 5 invites / user / hour
- Audit log records inviter, invitee, status
Open questions
Altr flagged: should revoked invites still count toward the rate limit?
the problem
Context dies at every handoff.
Knowledge erodes across every sprint.
Work sprawl destroys the context your team needs to ship. And when everyone uses AI agents, nobody owns the knowledge — decisions evaporate between sessions.
Context Switching
Your team writes the brief in Slack, refines it in Linear, builds it in GitHub, and reviews it in Notion. The original intent doesn't survive the trip.
Context Missing
By the time a PR opens, the acceptance criteria from the kick-off thread has been paraphrased twice and summarized once. Reviewers guess at the goal.
Context Rebuilding
Engineers spend the start of every sprint pulling up old threads and calls — context that should have traveled automatically with the work.
Knowledge Erosion
Every AI coding session starts blank. The architectural decisions your team made last sprint — which database, which pattern, which approach was rejected — are invisible to the next agent. You re-litigate the same choices, sprint after sprint.
Altr keeps context attached and knowledge alive — from first thread to merged PR →
This is how work actually enters your team.
Every sprint. Every handoff.
Nine notifications. Four tools. Zero shared context. Someone's about to open a doc and start from scratch.
@here can someone look at the auth bug before standup? users are getting logged out
[ENG-142] Magic-link invite fails silently on mobile — assigned to you
CI failed on main · 2 checks failed · auth/token.test.ts
Can we get the invite feature before Thursday? Customer call at 2pm
PR #138 Review requested — touching auth/session.ts · 3 reviewers pending
What's the status on magic-link? Design signed off last week
[Escalation] 3 enterprise users can't log in since Thursday's deploy
[ENG-138] Rate limit not enforcing in prod — priority: urgent
Watch Altr read
the thread.
Altr doesn't black-box the reasoning. Every step is visible — from the raw thread to the reviewable spec with criteria your team actually wrote.
we need invite teammates feature before thursday — customer call at 2pm. magic-link style, no passwords. should be fast, <90s end-to-end
agree. also need rate limiting — we got spammed last quarter. and expired invites should resend, not just 404
good call. should revoked invites still count toward the rate limit?
not sure tbh. also need an audit log for compliance — inviter, invitee, status
rate limit: 5/user/hour sounds right. revoked invites — yes, count them, otherwise it's trivially bypassed
Ready to close the loop?
Stop rebuilding the story at every handoff.
Slack thread → spec → PR → merged. One continuous trail. No archaeology, no sync meetings, no context tax.
The context that
stays attached.
Signal, assignment, and artifact stay linked through every stage of the work — captured once, carried all the way through.
Signals become working context.
Requests, notes, customer calls, and internal discussion enter the same room first. Work starts from the original signal, not from a summary pasted somewhere else.
Each stage is distinct and visible.
Planning, building, and reviewing run in separate lanes with clear handoffs. You can see what is in progress, what is blocked, and what moves next — at any moment, without asking.
Thread to spec to PR.
One continuous trail.
The same context follows the work all the way through. Acceptance criteria do not drift, review has the original rationale, and the PR lands with the full trail attached.
Direct signal ingestion
Connect the tools you already use.
Slack
Feature threads
GitHub
PR events
Linear
Issue updates
Notion
Product specs
Figma
Design tokens
PagerDuty
Incident logs
Signal, assignment, and artifact stay linked through every stage of the work — captured once, carried all the way through.
Your signal is already there.
Stop rewriting it.
Your team's signal lives in five different tools. Slack threads, GitHub issues, Linear specs, call recordings, monitoring alerts. Every handoff, someone re-summarizes. Every review, context disappears. The brief gets rewritten from scratch — every single time.
Altr runs on your Mac, pulls the full story from your existing stack, and keeps it attached through every stage of the work. The thread that prompted the request is still visible when the PR opens. Reviewers see why, not just what. Human review stays the default gate.
No new workspace. No cloud lock-in. No autonomous agent that ships before a human has signed off. Just the same story, visible across the tools you already trust.
Your stack. Your keys. Your approval gates.
CI and monitoring
Customer calls
Docs and specs
Linear issues
GitHub PRs
Slack threadsCI and monitoringCustomer callsDocs and specsLinear issuesGitHub PRsSlack threadsFour stages.
One unbroken trail.
Each stage has a clear job and a visible handoff. No reconstruction work, no re-explaining the goal — the context travels with the work from first request to merged diff.
Capture — so nothing gets lost before it starts
Pulls threads, calls, notes, and alerts into the trail. Engineering starts from the original signal, not a second-hand retelling.
Plan — so building never starts on assumptions
Locks acceptance criteria, flags unresolved decisions, and hands off a reviewable spec. No more discovering the goal mid-PR.
Build — so implementation stays tethered to intent
Opens the worktree, proposes steps, and drafts changes with the original criteria still attached — visible to every reviewer.
Review — so merge is a decision, not a gamble
Checks the diff against the original goal, flags regressions and missing criteria, and surfaces risk before it becomes a rollback.
Workflows teams already
run every week.
Altr removes reconstruction work — the moment teams spend copying a bug report from Slack into Jira, summarizing a thread into acceptance criteria, or explaining context in a review comment. Start with any workflow you own. The signal comes with it.
Turn rough requests into reviewable change.
Pull a thread, meeting note, or customer call into the room. Draft acceptance criteria, assign owners, and keep the rationale attached through review.
- thread → spec → PR
- acceptance stays attached
- status answers on demand
Move from report to owner without losing the signal.
Capture bug reports from Slack, support, or monitoring, structure the issue, and route it with the evidence intact.
- triage incoming reports
- attach logs and repro notes
- assign owner and severity
Break large refactors into supervised agent work.
Break repetitive modernization work into focused tasks, run them in parallel, and keep human review on every branch before merge.
- parallel subtasks
- repeatable migration plans
- approval before merge
Review against intent, not just diff shape.
The spec, open questions, and prior decisions travel with the code so review happens against the original goal.
- intent-aware review
- regression and risk checks
- missing AC surfaced early
Close the loop after the code lands.
Draft release notes, update docs, and answer "what changed?" from the same execution trail.
- release notes drafted
- docs updated from merged work
- answers from the full trail
Carry incident context into the actual fix.
Move from noisy incident room to scoped implementation work without rebuilding the timeline in a second system.
- incident thread retained
- fix plan linked to evidence
- postmortem trail preserved
6 workflows · more added with each pilot cohort
Explore all use cases →Drop in a rough request.
Watch Altr structure the work.
Start with the kind of messy ask teams actually get. Altr will turn it into acceptance criteria, an implementation plan, and a draft PR. It's a mock, but the workflow is the point.
plan · build · output appears here
Your specs and diffs
stay on your machine.
Control is part of the product surface, not a compliance add-on. Teams decide what agents can touch, which models run where, and how every decision stays attributable — from first request to merged diff.
Your workspace lives on your Mac
Specs, diffs, and context are stored in SQLite on-device. Integrations with Slack, GitHub, and Linear are handled by Altr cloud — so you get real-time events without exposing your machine.
Choose models and providers deliberately
Bring your own model providers, keep keys in the OS keychain, and decide which roles can call which models under which rules.
Keep decisions attributable
Specs, diffs, agent actions, and approvals stay reviewable. Important work still passes through human approval instead of disappearing behind automation.
Grow into stricter environments
Start with Mac-native pilots, then move into managed environments, VPCs, or on-prem setups as security and procurement requirements increase.
What early teams see when the whole trail
stays attached.
Signal from closed pilots. Teams stopped the reconstruction work — context now travels from the first thread to the merged diff.
Calculate your savings
Industry benchmark
“Product teams waste an average of 2.4 hours per feature cycle re-explaining intent that was already captured in Slack or docs.”
Monthly reconstruction tax
spent on 48 hours of re-explaining work
Altr eliminates this tax by carrying the original signal through every handoff automatically.
Stop dropping the thread →What shifts when the trail
stays intact.
The recurring pattern is not “AI magic.” It is fewer reconstruction meetings, stronger specs, and review that starts with the full context already in place.
Questions teams ask
when evaluating.
If yours isn't here, write hello@altr.run — a human reads every one.
evaluating alternatives?
See side-by-side comparisons →Scope the rollout against
your actual stack.
We'll map Altr against your actual coordination stack and show what changes, what stays where it is, and what a safe rollout should look like for your team.
For teams replacing real coordination overhead.
Bring product, engineering, design, or security to the table. We'll show the workflow in context and outline where Altr fits into your current systems.
- Workflow mapping for intake, planning, build, review, and release
- Integration scoping for Slack, GitHub, Linear, docs, and monitoring
- Security, procurement, and rollout handled with engineering and IT leads