Your team asks questions. Your agent investigates.
An agent that connects to your tools, data, and codebase. Ask it anything in Slack, Linear, or the web. Meaningful answers in seconds.
Runs on your server. You own the code, the data, and the infrastructure.
Investigation complete.
User: mike@acme.com (ID: 8291, Pro plan since Mar 2025)
Error: NullPointerException in PaymentService.processCheckout()
Root cause: User's saved payment method expired. Stripe returned card_declined. Our code doesn't handle the null response.
Sentry: CHECKOUT-4821 (12 occurrences today)
Source: src/services/payment.ts:247 missing null check on Stripe response
How it works
A simple process from start to finish.
Talk to us
We scope what your team needs: which tools to connect, what skills to enable, and how your team will interact with the agent.
We set it up together
We handle the deployment and configuration. You stay in control of your own server and credentials. The process is fast and tailored to your needs.
Your team starts asking questions
Mention the agent in Slack, tag it on a Linear issue, or use the web. It investigates across all connected tools and reports back with answers, not guesses.
Connects to your entire stack
Out-of-the-box skills for the tools your team already uses. Need something custom? We build it.
Sentry
Error tracking, stack traces, issue investigation
Linear
Issue tracking, project management, team workflows
ClickHouse
Fast analytical queries across billions of rows
PostHog
Analytics, funnels, retention, feature flags
HubSpot
CRM data, contacts, deals, workflows
Klaviyo
Email marketing, flows, campaigns, subscriber data
Mailgun
Email deliverability, bounces, suppressions
Intercom
Help center, articles, customer conversations
Slack
Read threads, download attachments, post answers
Your Codebase
Search and read your production code to trace bugs to source
GitHub
Pull requests, issues, commit history, blame
SQL Databases
Query Postgres, MySQL, and other SQL databases
Grafana
Dashboard discovery, metric lookups
Web Browser
Screenshot pages, inspect frontend issues, browse your app
Custom Integrations
Any tool with an API. We build the skill for you.
Datadog
Coming soon
MongoDB
Coming soon
Zendesk
Coming soon
Jira
Coming soon
Stripe
Coming soon
Notion
Coming soon
AWS CloudWatch
Coming soon
Asana
Coming soon
Salesforce
Coming soon
Redis
Coming soon
Twilio
Coming soon
SendGrid
Coming soon
Ask anything about your business
The agent chains tools together to investigate. One question, complete answer.
"Break down our user base by age group and email domain. What % are on gmail vs company emails?"
Agent queries your database, segments users by age brackets and email domain, calculates the distribution, and returns a clean breakdown with percentages. No SQL required on your end.
"A customer reports duplicate submissions from several users. Look into this before we create a ticket."
Agent searches the database for the flagged users, finds word-for-word identical entries, checks timestamps and submission sources, and reports back with the scope of the issue and whether it needs engineering.
"Summarize our active A/B experiments. Which ones have reached significance?"
Agent pulls all running experiments from PostHog, checks sample sizes and confidence intervals, flags which tests have hit statistical significance, and recommends which ones are ready to ship.
"Check this Linear ticket, I think we already fixed this bug recently."
Agent reads the ticket, searches recent commits and pull requests for related changes, checks if the fix is deployed, and confirms whether the issue is already resolved.
"Read this Slack thread and create a triage ticket for engineering."
Agent reads the full thread, extracts the key details, checks for related issues in Linear, and creates a new ticket with context, links, and suggested priority.
"Review this Linear issue and add your analysis. Don't change the original description."
Agent reads the issue, investigates the codebase for the relevant code paths, checks Sentry for related errors, and posts a detailed comment with findings directly on the ticket.
"Do we have any Grafana dashboards tracking API latency? What do the p95 numbers look like this week?"
Agent searches your Grafana instance for matching dashboards, finds the relevant panels, pulls the current metrics, and summarizes trends. No need to dig through Grafana yourself.
"A user submitted a complaint through Intercom about being charged twice. Look into it and help me draft a response."
Agent pulls the conversation from Intercom, looks up the user in HubSpot and your database, checks payment records, identifies the issue, and drafts a response you can send.
"What is causing the spike in errors on the payments page?"
Agent pulls recent errors from Sentry, cross-references with your codebase to identify the faulty commit, checks PostHog for user impact, and gives you the full picture.
Pricing
One-time purchase to get running. Optional monthly for updates and support.
Based on your stack and needs
- Full platform deployed to your server
- Private repo under your GitHub organization
- Skills configured for your stack
- Slack, Linear, and web connected
- Usage tracking: tokens, costs, breakdown by person and model
- Scheduled automations: daily reports, error summaries, and more
Ongoing updates and support
- Platform updates and new features
- Bug fixes and security patches
- Priority support
You provide a Linux server and your own AI subscription (Anthropic, OpenAI, etc.).
Need a custom skill or sub-agent? Custom integrations are billed per integration.
Get in touch to discuss.
Frequently asked questions
How is this different from ChatGPT or Claude?
ChatGPT and Claude are general-purpose assistants. You paste context in, you get an answer out. Mako is already connected to your stack. It can query your database, pull errors from Sentry, read your codebase, check your CRM, and chain all of that together in a single investigation. No copy-pasting, no context windows, no manual setup every time.
How is this different from OpenClaw / personal AI assistants?
OpenClaw is a huge inspiration and we love the idea of a personal AI assistant. Mako is different because it's built for the whole company, not just one person. Engineers, support, PMs, and ops all use the same agent with shared context across your entire stack.
How does authentication work?
We support SSO through BetterAuth. Your team logs in with your existing identity provider (Google Workspace, Okta, or whatever you already use). Only authenticated members of your organization can access the agent through Slack, Linear, or the web.
How secure is Mako?
You control exactly what the agent can access. Tools can be configured as read-only, and you decide which repos, services, and data sources to connect. Only your employees can interact with the agent through Slack, Linear, or the web. No one else.
What is the web interface?
A private app hosted on your server. It's where your team can talk to the agent, view conversation history, set up scheduled automations, and track usage stats like token costs and model breakdowns. Responses render with full markdown formatting, syntax highlighting, and file attachments.
Do you have access to our server, code, or data?
We never access your server or data. The repository lives under your GitHub organization and you control who has access. We submit pull requests with new features and skills, you review and merge them. Deployment is automatic through a GitHub Action that you own and can inspect. You own the entire codebase, the infrastructure, and all the data. If you ever walk away, everything stays with you.
Can Mako replace roles on my team?
That's not the goal. Mako accelerates everyone's workflow. Engineers get better tickets with full context. Support can look up errors and logs without asking engineering. PMs can understand metrics and codebase details when scoping new features. It makes your existing team faster.
How do logs affect the agent's performance?
Significantly. If your services follow canonical log lines or structured logging, the agent can investigate issues much faster and more accurately. If your logging isn't there yet, we can help. We offer consultancy on log structure, formatting, and best practices to get the most out of your agent.
Can I use Microsoft Teams, Discord, or other platforms?
Not yet, but the architecture supports it. Slack and Linear are built and tested today. If you need Teams, Discord, or another input, reach out. It's straightforward to add when the need arises.
Get your agent running this week
Give your team an agent that knows your stack, your data, and your codebase. One question, full investigation, real answers.