Product

The release copilot that never sleeps

Reports, PM overview, standup briefs, test generation and self-healing tests — all in one Slack thread.

Book a call See the night run
0
threads every morning
0
specs every night
0
failures reach the morning
The problem

The state of a release lives in nine tools

Nobody has the whole picture. So every morning somebody assembles it by hand — and that job never ends.

Jira Confluence Figma pipelines deployments environments tests standup messages
Morning digest

The whole release lands in five threads

Every morning, without anyone asking. Click through to see what each thread carries.

#ai-release
PTAAPP
Deployments in the last 12 hours — staging and preprod in one thread.
  • core-api → feat-1652 · build 977 · tickets QA-14950, QA-14587
  • scheduler → nightly · build 1076
  • events-api → 2.1.1 · build 134
  • gateway → master · build 1145
PTAAPP
Every environment, every version, every ticket — no hunting across five pipelines.
Conversation

Ask in the thread. Or DM it quietly.

It isn't another dashboard you have to open. Try asking — pick a question or type your own.

Direct message · PTA just for you

30+ tools, one sentence away — Jira, Azure, Git, Jenkins, environments. In plain language, no command syntax.

The night run

A build goes red at 03:11. By morning it's green.

The strongest part of the whole system: overnight the agent decides whether the bug is in the test or in the product — and acts completely differently depending on the answer.

47 specs · multi-region · every night — 0 failures reach the morning.

Walk through the whole night, minute by minute →

The system map

One failure in. The right action out.

The same red build can mean four completely different things. The agent tells them apart and has a different answer for each — including doing nothing.

Triggers
Nightly smoke runs

Backend + frontend, multi-region, starting at 01:00.

Hourly prod monitor

Synthetic checks, 24/7.

Per-merge-request runs

On demand, modules in parallel.

AI core
Analysis

Evidence first, classification second: CI logs, screenshot, video, test source and app code read-only.

1 · deterministic

Network and VPN check — no model involved.

2 · model verdict

Always with a confidence level.

Verdict → action
Test bug → self-heal

Isolated clone, fix, 4 guards, live browser, CI. Up to 3 attempts, test repo only.

App bug → human gate

Drafts the ticket, checks for duplicates — and waits for your ok.

Environment outage → stand down

Network or VPN is down. No ticket, no fix.

Unsure → manual review

When it isn't sure, it would rather do nothing.

Hover the verdicts on the right — or click through them.

Capabilities

One agent, the whole test lifecycle

From acceptance criteria to a green spec — and then to a report nobody has to read, because it's already resolved.

Acceptance criteria on day one

A feature lands in Jira and the agent drafts its acceptance criteria before anyone asks.

Context from everywhere

It reads every repo, spec, Confluence page and Figma design first — then acts.

Tests written your way

Generates tests from your learned test base — same syntax, same patterns, documented.

Allure & thread reports

Every suite run lands in the thread with per-module results and Allure links.

Azure bugs arrive analysed

A new bug from Azure comes in with a proposal for the test that would catch it next time.

30+ tools, one sentence away

Jira, Azure, Git, Jenkins, environments — in plain language.

Access & data

What the agent may do — and what it may not

The most common question before a rollout. The answer is deliberately boring: it holds the smallest permissions that let it do the job.

  • ✓ app code read-only — it never writes there
  • ✓ writes to the test repo only production code is never touched
  • ✓ dry-run on tickets nothing is written to Jira without your confirmation
  • ✓ 4 anti-masking guards a fix that hides a real bug does not land
  • ✓ up to 3 self-heal attempts after that it hands over to a human
  • ✓ uncertainty = no action flags it for manual review and stops
  • ✓ high availability a standby machine, one git repo — no report is ever lost

A 30-minute discovery call. Free.

We look at your release process and tell you what the copilot can take over first.

Book a call