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Customer stories
See how our clients are using Zipchat and the awesome benefits it's bringing to their businesses!
Connect your GitHub, GitLab, or Bitbucket repo. Zipchat reads your codebase and answers technical support questions like a senior engineer - on your website and in your email support channel. No engineering interruptions. No stale docs. No guesswork.
There is no manual training. No article writing. No cold-start period where the AI guesses at your product. Zipchat reads your actual codebase and starts answering technical questions from day one. Here is the exact sequence.
Step 1
Sign up at zipchat.ai and select Codebase (Software) as your agent type. Enter your marketing website URL so the AI understands what your company does. Then provide your Git repository URL and an access token.
Zipchat verifies access, clones your repository, and begins indexing. Initial indexing completes within minutes for most codebases. You can also extend the knowledge base with additional sources using Custom Tools.
[SCREENSHOT: Zipchat agent creation screen showing Codebase mode selected, Git repo URL field, and access token field]
Step 2
Once access is confirmed, Zipchat clones your repository into an isolated, secure environment. It reads and indexes your source code, READMEs, configuration files, and code comments. It crawls your marketing website for product context. All of this becomes the knowledge base the AI draws from when answering questions.
You do not write any documentation for the AI. You do not train it on example Q&A pairs. The knowledge base builds itself.
What gets indexed:
The knowledge base re-indexes weekly on Starter and Growth plans, daily on Pro, Scale, and Enterprise. When you push a new release, the next sync picks up the changes automatically. Your docs can go stale. Your code does not.
[SCREENSHOT: Zipchat knowledge base dashboard showing indexed pages with source type labels: Git, Web, Custom]
Step 3
Before going live, spend five minutes in the AI Training panel. Write a core prompt: tell the AI your product name, your tone, what it should do when a question falls outside the codebase, and any topics it should escalate immediately (outage reports, billing disputes, security incidents).
Add Custom Tools if you want the AI to take actions, not just answer questions. Connect Jira or Linear to create tickets automatically. Connect Zendesk or Intercom to route escalations into your existing support queue. The AI executes the API call in a secure sandbox during the conversation.
What you can configure:
Test Chat mode lets you query the AI directly before going live. Type the exact questions your prospects and customers ask most often. If a response is wrong or incomplete, add a correction in one click. Debug mode shows you exactly which part of the codebase or knowledge base the AI used to build its answer.
[SCREENSHOT: Zipchat AI Training panel showing core prompt input with SaaS-specific instructions]
Step 4
Once deployed, the AI handles every first-line technical question on your website chat and in your email support inbox. It answers from your live codebase, not from cached docs that may be months out of date. When it cannot find the answer, it says so and escalates with full conversation context, so the support agent or engineer does not have to ask the customer to repeat themselves.
The analytics dashboard tracks every question the AI answered, every question it could not answer, and every escalation. You see which product areas generate the most support load - and where to invest in documentation or product improvement to reduce it further.
Website Chat
Answers technical pre-sales and support questions in real time. Deploys to your marketing site, docs portal, or in-app help widget.
Email Support
AI reads incoming support emails and responds using your codebase. Supports multi-turn threads. Escalates to your team with full context when needed.
[SCREENSHOT: Zipchat analytics dashboard showing ticket deflection rate, top questions, and escalation volume]
Your codebase is already the knowledge base. Zipchat connects in 20 minutes.
Book a demoZipchat Code does not use generic AI training data to answer your customers. Every answer comes from your actual codebase, your marketing website, and any additional sources you connect. If you ship a new feature on Monday, the AI knows about it by Tuesday. No documentation sprint required.
Connect GitHub, GitLab, or Bitbucket with an access token. Zipchat clones your repo and indexes source code, READMEs, configuration files, and code comments. Private repos fully supported. Self-hosted GitLab supported.
Your company website is crawled automatically at setup. The AI uses it for product positioning, feature descriptions, pricing context, and anything a prospect would ask before evaluating your API or product.
Connect Notion, Confluence, Jira, Linear, Zendesk, Intercom, Google Drive, ReadMe, or any other tool via Custom Tools. The AI calls the API during conversations and incorporates the response into its answer.
Connect a read-only PostgreSQL database for live data access. The AI can query customer records, subscription status, usage data, and anything else in your database. Queries are automatically scoped to the identified user.
Upload PDFs, paste text snippets, or add individual URLs. Architecture decision records, internal onboarding docs, runbooks, security FAQs - anything not accessible via API goes in here.
Your core prompt tells the AI how to speak, what to escalate, and what to do when context is missing. The AI answers every question in your voice - not as a generic chatbot.
Zipchat Code uses RAG (Retrieval Augmented Generation) combined with direct codebase exploration in an isolated E2B sandbox. The AI never exposes source code, file paths, or internal implementation details to end users. It answers as a product expert: "Zipchat supports X configuration" - not "line 847 of config.rb shows." When it cannot find the answer, it says so and escalates rather than inventing a response.
Most AI support tools search your documentation. Documentation goes stale. Your codebase does not. Zipchat Code reads the actual source of truth - the code your product runs on - and answers from that. This is the difference between 70% accuracy on docs and 96% accuracy on code.
Those tools search your documentation. When a customer asks a question not in your docs, they get a non-answer or a hallucination. When your docs are out of date - and 46% of documentation goes stale within 3 months - they give the wrong answer confidently.
Zipchat Code reads your source code. It answers from what your product actually does today, not from what someone documented six months ago. The result: 96% answer accuracy versus the 60–70% accuracy ceiling most doc-based tools hit.
See how Zipchat Code compares to ReadMe, Mendable, Inkeep, and DocsBot →These are outcomes from SaaS companies using Zipchat Code. Ticket deflection is measured as the share of technical support questions the AI resolved without human escalation. Engineering focus time improvement is measured by the reduction in interruptions via Slack, email, and direct escalation.
Every agent gets the same accuracy as your best technical hire. No more "let me check with engineering" on routine product questions. No more delayed replies while waiting for a dev to be available.
Drive-by Slack messages, quick email clarifications, and support escalations for questions the AI can answer - all stop hitting the engineering queue. 40% more uninterrupted deep work time.
Sales reps and prospects on your website can ask "does your API support X?" and get an accurate answer in under 3.5 seconds. No follow-up email needed. No deal stalled waiting for an SE.
See how Zipchat Code handles your product's specific support questions.
Book a demoZipchat Code connects natively to your Git provider and deploys to your existing website and email channels. For ticketing and escalation, it connects to the tools your support team already uses. Your workflow does not change. The AI handles deflection. Your team handles exceptions.
Git Providers (native)
Personal access token or GitHub App. Supports private repos and organizations.
Personal access token. Supports GitLab.com and self-hosted GitLab instances.
Bitbucket
App password and username. Supports private repositories.
Deployment channels
Website Chat
JavaScript snippet on your marketing site, docs portal, or in-app widget area.
Email Support
Dedicated AI-powered support email. Handles first-line replies, escalates with full history.
Ticketing & escalation
Zendesk
Escalate with full conversation context into an open ticket.
Intercom
Route escalated conversations into your Intercom inbox.
Gorgias
Escalate into Gorgias workflow with conversation context.
Freshdesk & Salesforce
Create tickets or push qualified leads from escalated conversations.
Connect anything via Custom Tools
Jira / Linear
Create tickets from escalated conversations automatically.
Notion / Confluence
Pull from your internal wiki during conversations.
Google Drive / ReadMe
Surface documents and developer docs during conversations.
Any HTTP API
Write plain-English instructions, add your API key, and the AI calls it during conversations.
Custom Tools run in an isolated E2B sandbox. API keys and tokens are encrypted at rest and injected as environment variables during execution. They are never exposed to end users or included in AI responses.
See all integrations →No documentation sprint. No training period. No manual Q&A setup. Connect your repo, Zipchat reads your code, and your AI customer support agent goes live on website chat and email. Start on the free plan with 120 AI replies per month, no credit card required.
Free plan includes 120 AI replies/month, 100 knowledge base pages, and all core features. Paid plans start at $49/month. · Looking for Zipchat for ecommerce?
