Risk-based test plan from the PR
Read the diff and unreleased notes; propose exploratory charters and regression targets by blast radius.
GitHub · Linear · TestRail/Sheets
Agent template · created in seconds
Your QA agent.
Created in seconds.
Test your product continuously, formalize bugs, track regressions, and prioritize fixes, without hiring, without a backlog spiral, without paying $6,000/month for spreadsheets that go stale. One example of an agent you can create on Upchat in seconds, then customize freely: model, tone, tools.
QA Agent · running
QA
QA lead
Running 3 tasks in parallel
9:04 · Tuesday
YouRelease goal: zero critical regressions on checkout.
QA AgentGot it. I’ve read your
→ Smoke on key journeys
→ Regression targeted + focused manual checks
→ Triage daily with severity and repro
specs.md and incident history. 3-part plan:→ Smoke on key journeys
→ Regression targeted + focused manual checks
→ Triage daily with severity and repro
QA AgentLaunching, first coverage report in 4 hours.
While your competitors are still hiring a QA lead, you created yours this morning.
The problem
Quality is slow, expensive, and under-resourced.
You ship fast. Specs change. Journeys multiply. But between you and a calm release, there’s always the same bottleneck: not enough time to test seriously.
01 · HIRING
Hiring a strong QA lead takes weeks.
Shortlist, interviews, case study, negotiation. Weeks without coverage, and often a generalist who can’t cover everything.
02 · BUDGET
Freelance QA is expensive and fragmented.
$600-1,200/day, a few days a month, shared across clients. You never get continuous presence on the sprint.
03 · SPEED
Test cycles slow shipping.
Scope, reproduce, document, ping dev. A fix that should take a day takes a week.
04 · RISK
Regressions cost trust.
A critical bug at the wrong time, a payment regression, a mobile issue nobody saw. The real cost is customer trust and revenue.
Meanwhile, regressions slip into production.
The solution
A dedicated quality AI agent. It understands, proposes, executes.
Upchat is a QA lead on the job, from minute one.
It understands your product, proposes a test plan, and executes immediately. No long onboarding ceremony. No “we’ll look at it next week.” No dependency on a part-time human.
- 01 Covers critical journeys
- 02 Formalizes and prioritizes bugs
- 03 Tracks regressions release after release
- 04 Reports, and pushes fixes through
No friction. No latency. No dependency on a human.
upchat ~ qa-agent
▸read product_context.md
✓ Key journeys, environments, incident history ingested
▸propose test_plan --release=v2.4
→ 3 prioritized tracks: checkout smoke · API regression · targeted accessibility
▸execute regression --scope=critical
⚡ 8 suites launched · 4 bugs documented · dev pinged in < 1h
▸monitor
Why it’s different
It’s not a tool. It’s an operator.
A tool gives you checkboxes. Upchat Quality actually runs your QA, while you move the product forward.
a tool
an assistant
a copilot
→ an autonomous operator
5min
Ready in minutes
No endless setup. You brief, it starts.
24/7
Always on
It doesn’t sleep, take PTO, or change jobs.
+∞
Learns your product
Every interaction enriches memory. It knows your journeys and past regressions.
0s
Executes instantly
The gap between “we should test this” and “tested and documented” nearly disappears.
v∞
Always up to date
Continuous watch on QA best practices, accessibility, and product risk. Never behind the standard.
You go from “we’ll test later” to “it’s already covered”.
How it works
Three steps. Zero friction.
You stay in control of what ships. The agent never decides alone on critical go/no-go, it proposes, documents, and escalates. You validate. It executes.
01
~5 min
Describe your product
Critical journeys, environments, constraints, bug history. The agent ingests everything that matters to scope quality.
02
~1h
The agent proposes a test plan
Smoke, regression, exploratory, accessibility. A prioritized plan with risks, effort, and exit criteria.
03
ongoing
It executes and tracks fixes
Suite runs, bug triage, fix verification, guardrails before every release.
What the agent can do
Everything a QA lead would do · but continuously.
Designs test plans
Coverage matrices, critical scenarios, testable acceptance criteria from your specs.
Runs smoke & regression
E2E, API, integration, what must be green before merge or tagging a release.
Writes actionable bug reports
Repro, severity, attachments, environment, tickets devs can use on the first read.
Prioritizes & tracks fixes
Quality backlog, release risk, re-tests after fixes, traceability to closure.
Watches for regressions
Release-over-release comparison, risk hotspots, alerts when a critical journey degrades.
Strengthens accessibility & perceived quality
Targeted WCAG checks, keyboard paths, contrast, not a full human audit replacement, but a high daily bar.
Missions & first week
QA missions that catch risk early
Exploration, regression packs, and release confidence - not blind automation that green-checks brittle paths.
Starter missions
Flaky test triage
Cluster failing specs by signal, quarantine candidates, and open issues with minimal repro when CI noise hides real bugs.
CI · GitHub · Slack
Checkout & critical path crawl
Scripted-or-guided walk of pay, auth, and import flows after each deploy candidate - with evidence attachments.
Staging · Stripe test · Browser
Release readiness brief
Roll up open bugs by severity, known gaps, and go/no-go notes for the ship meeting - in one page.
Linear · Slack · Docs
Your first week
Day 1
Environments & oracles
Staging access, seed data rules, and what “done” means for each critical flow.
Day 2-3
Pair on one feature slice
Agent proposes charters; you calibrate depth vs. speed.
Day 4-5
Nightly regression pack
Stabilize a thin suite the agent can monitor and summarize.
Ongoing
Every release candidate
Diff-driven risk note before QA signs the build.
Early access - human approval stays on high-impact actions (prod unblock, severity calls, customer data).
A team, not an individual
Your QA agent doesn’t work alone.
It collaborates with other specialized agents. A blocking bug? Dev ships the fix. A spike in incidents? Support brings field signal. A full team, without hiring anyone.
QA
Lead agent
QA Agent
Owns quality end to end. Plans, tests, documents, re-tests, and calls the rest of the team when needed.
DV
Contributor
Developer
Fixes, instruments code, delivers builds to re-test.
← called by QA
DA
Contributor
Data analyst
Connects metrics, incidents, and regressions to prioritize risk.
← called by QA
SP
Contributor
Support
Surfaces customer symptoms, enriches repro cases and the help center.
← called by QA
Freelance vs. Upchat
Why manage someone when you can run a system?
Freelance QA old school
- ✕ Slow to hire, 4 to 8 weeks
- ✕ Expensive, $4,000 to $12,000/month
- ✕ Limited availability, a few days a month
- ✕ Multiple clients, never the priority
- ✕ Vacations, job changes, rate hikes
- ✕ Back to zero when they leave
Upchat Quality new
- ✓ Instant, ready in 5 minutes
- ✓ Pay-as-you-go, pay for what you use
- ✓ 24/7, nights, weekends, holidays
- ✓ 100% dedicated, one priority: you
- ✓ Never leaves, never forgets, always improves
- ✓ Your memory stays yours, forever
Stop managing a person. Start steering a system.
Keep learning
Guides for this role
How to Evaluate AI Agents: A Practical Guide for Teams
Learn how to evaluate AI agents with task success rates, golden datasets, trajectory review, and human rubrics. A practical guide to measuring agent quality.
Read the guideWhat is AI agent observability?
AI agent observability explained: traces, tool-call logs, and evals that show what cloud agents actually did, so teams catch failures before production.
Read the guideWhat is AI agent security?
AI agents that call APIs open new attack surfaces. Learn how least-privilege tool scoping and prompt injection defense protect agentic systems in production.
Read the guideYour stack
Connect it to all your tools. Even the ones that don't exist anywhere else yet.
Ads, CRM, support, drive, internal tools. Upchat plugs into 3,000+ tools out of the box, and if the one you need isn't there yet, it finds the documentation, writes its own connector, and connects itself with the API key or credentials you give it.
- You name the tool, even one built in house.
- It reads the documentation and builds its own connector.
- You give it an API key or your credentials, it connects itself.
Connect to our internal tool, Ledgerly.
Upchat
No connector exists yet. I'm reading its API documentation and building one.
No connector exists yet. I'm reading its API documentation and building one.
Upchat
Ready. Give me an API key to finish the connection.
Ready. Give me an API key to finish the connection.
3,000+Ready integrations
∞Reachable tools
3,000+ integrations
This is just a preview, Upchat connects to 3,000+ tools
Early access
Launch your quality agent before everyone else.
Upchat is in early access. We’re opening spots gradually for the first users, prioritizing product teams that want to ship fast without sacrificing quality. Get early access and create this agent in seconds, zero setup.
No commitment, priority access at launch.