Strategic questions.
System answers.
Instant answers.
Grounded answers.
Stop waiting for your engineers to respond.
Directors, PMs, and execs get the system insights they need for project scoping, estimation, OKRs, and KPIs — without waiting on engineering.
In Slack.
In Microsoft Teams.
- Ask strategic questions about how your systems work
- Get grounded answers with source references in seconds
- Stop waiting hours for engineering to respond
geo_restriction check in CheckoutController logs to analytics.track('checkout.geo_blocked'). Last 90 days: 4,847 blocked EU attempts. At $49 avg order value, that's ~$237K/quarter blocked.
Your systems become queryable.
Your leadership becomes self-serve.
@mention the bot in Slack. Get answers grounded in your actual implementation.
Sandboxed Isolation
SecurityYour systems are analyzed in network-isolated workers. No training on your data. No retention. Delete logs anytime.
Your Keys, Your Costs
No MarkupUse your Anthropic API key, AWS Bedrock, or Google Vertex AI. You pay LLM providers directly. We add zero markup to token costs.
Slack-Native
Where You Work@mention the bot in any channel. Answers stay in threads. Also available via REST API and embeddable chat widget.
The strategic questions you couldn't ask
without scheduling an engineer.
Now answered in seconds. Grounded in your actual systems.
Board prep, due diligence, velocity tracking — without waiting on eng
Board Deck Numbers in Seconds
You need technical debt metrics for next week's board meeting. Previously: schedule a call with engineering, wait for them to pull the data, hope the numbers are right. Now: ask directly.
@context What percentage of our codebase is more than 3 years old with no recent commits?
M&A Due Diligence
You're evaluating an acquisition. Their code is a black box. Previously: hire consultants or pull your senior engineers off roadmap work. Now: get answers before the call.
@context Are there any hardcoded API keys or credentials in the codebase?
Engineering Velocity Data
You need to understand where engineering time is going. Previously: wait for the monthly engineering report. Now: get real-time answers from the source of truth.
@context How many bug fixes vs. new features shipped this sprint?
Scope features, trace user flows, check flags — without blocking engineers
Scope Before Sprint Planning
You need to know if "add Apple Pay" is a 2-day or 2-month project. Previously: schedule a grooming session, interrupt 3 engineers, get conflicting estimates. Now: see the actual code impact.
@context What files would need to change to add a new payment provider to checkout?
Debug Conversion Drops
Checkout conversion tanked 8% and you need to know why. Previously: file a ticket, wait for engineering bandwidth. Now: trace the actual flow yourself.
@context Walk me through what happens when a user clicks "Place Order" step by step
Check Feature Flags
Sales needs to know if the new pricing page is live for enterprise customers. Previously: Slack the engineer who built it. Now: check the source of truth directly.
@context What feature flags control the pricing page and what are their current values?
Answer customer questions without escalating to engineering
Answer "How Does This Work?" Tickets
Enterprise customer asks how webhook retries work. Previously: escalate to engineering, wait 4 hours. Now: get the exact answer with file references.
@context How many times do we retry failed webhooks and what's the backoff strategy?
Debug Customer-Reported Issues
Customer reports "the export is missing data." Previously: reproduce, escalate, wait for diagnosis. Now: understand the export logic yourself.
@context What filters does the CSV export apply? Could it be excluding archived records?
Verify API Behavior for Customers
Customer asks if your API supports a specific parameter. Previously: check docs (outdated), then ask engineering. Now: check the actual implementation.
@context Does the /orders endpoint support filtering by created_at date range?
See what your team is asking.
No black boxes.
Real-time dashboard shows every question and response.
Full transparency on every query
Monitor who's asking what, track response quality, and catch issues before they become problems. Or disable logging entirely — your choice.
Watch questions come in from Slack, API, and chat widget
See which answers include file refs vs. need improvement
Know which questions your team asks most often
Disable all logging if security policy requires it
Enrich answers with live business data
Combine system knowledge with customer context, live metrics, and documentation.
Pass Customer Context
The chat widget receives data attributes about the current user. Support can ask "why is this customer seeing an error?" and get answers specific to their account tier, plan, and history.
data-customer-id="12345"
data-account-tier="enterprise"
data-pricing-plan="pro-annual"
data-user-role="admin"
Connect Live APIs
Claude Code can call your internal endpoints during queries. Ask "what's the current cache hit rate?" and get real numbers, not just code that calculates them.
POST /api/v1/query
{
"context_apis": [
"https://api.yourapp.com/metrics"
]
}
Upload Supporting Docs
PDFs, runbooks, API specs, architecture diagrams. Claude Code combines your implementation with your documentation for complete answers.
Before you commit 2 minutes to setup
Here's what engineering leads ask before rolling it out.
$99-299/month flat. No per-seat fees. No usage caps. You bring your own API keys (Anthropic, Bedrock, or Vertex AI) and pay those providers directly. We add zero markup to LLM costs. 60-day free trial, cancel anytime.
2 minutes. Connect GitHub, install the Slack app, paste your API key. No procurement, no sales calls, no enterprise approval queue. Your PM can start asking questions before lunch.
Never. Your systems are analyzed in sandboxed, network-isolated workers. Zero retention policy available. Your API keys mean your data stays with Anthropic/AWS/Google under your existing agreements. We never see raw responses.
No. The bot only responds when @mentioned. Answers stay in threads. Works in DMs too. Average response: 3-4 sentences with file references. No hallucinated novels.
Every answer includes file references. Your team can verify by clicking through to the actual code. Confidence indicators show when Claude Code is uncertain. Bad answers get caught before they cause problems.
Strategic questions about how your systems work. "What's our technical debt in the payment flow?" "How would adding Apple Pay impact checkout?" "Where are we vulnerable to rate limiting?" Answers come from your actual implementation — grounded in source files, not hallucinations.
Flat monthly rate. No surprises.
No per-seat fees. No usage caps. No LLM markup. 60-day trial to prove ROI.
Shared Server
Shared server hosted by Critical Context
- ✓ Shared infrastructure
- ✓ Standard support
- ✓ Community access
Dedicated Server
Dedicated Render.com instance on AWS EC2
- ✓ Dedicated Render.com instance on AWS EC2
- ✓ Most secure hosted option
- ✓ Priority support
- ✓ 99.9% SLA
Self-Hosted
Docker image for self-hosting on your infrastructure
- ✓ Docker image license
- ✓ Your own infrastructure
- ✓ Full data ownership
- ✓ Most secure option
- ✓ Priority support
Bring your own API key. You pay Anthropic/AWS/Google directly for LLM usage. We don't mark up token costs.
Strategic insights shouldn't require
engineering bandwidth.
Setup takes 2 minutes. No credit card required. Your API keys.