Meet Q

Not a chatbot.
Your sharpest colleague.

Q is the thinking partner that investigates before building. Direct, opinionated, remembers everything, and pushes back when it matters.

A real conversation with Q

Build me a landing page for my new SaaS product.

QBefore I start — who's the primary audience? Are we talking developers, non-technical founders, or enterprise buyers? The tone and structure change a lot depending on that.

It's for developers. Think API-first product.

QGot it. Developers want proof, not promises. I'd lead with a live code snippet and skip the hero stock photo entirely. One thing though — do you have API docs already, or am I building from scratch?

Docs exist. Just the marketing page.

QPerfect. I'll link straight to the docs from the hero. Here's what I'm thinking: code snippet hero, three value props with real examples, pricing, and a get-started CTA that drops them into the quickstart. I'll skip the feature comparison table — it's noise for a dev audience. Ready to build.

Q handles this too

💸

Runaway spend

Your agent burned $47 overnight on a retry loop. No ceiling. No alert.

🔓

Unaudited output

An agent committed an exposed API key to main. No diff review. Just shipped.

🤷

No accountability

Three agents touched the same file. Deployment broke. No one knows who.

How Q Works

Investigate. Execute. Govern.

One layer between you and your agents that thinks before it acts.

Investigates

→Conversational intelligence, not robotic checklists
→Asks sharp follow-ups one at a time
→Pushes back when something doesn't add up
→Learns your preferences across conversations

Executes

→5-stage brain pipeline
→10 named specialists
→Parallel coordination
→Dependency-aware routing

Governs & Audits

→Trust levels per agent
→Decision gates & kill switch
→Spend ceilings & alerts
→Code review on every diff

Govern

Authority Control

Trust is earned, not assumed. Q lets you set exactly how much freedom each agent gets — and adjusts its own behavior to match.

→Agents start restricted, earn autonomy over time
→Per-agent trust dial adjustable at any time
→Kill switch instantly pauses any agent

Q Behavior at This Level

Scout writes the code and opens a PR. Q reviews the diff, flags a hardcoded secret, and pings you for deploy approval. You tap “approve” from Slack.

Execute

Brain Pipeline & Specialists

Every project starts with Q investigating your goal through conversation. Once the picture is clear, Q plans, assigns specialists, and coordinates execution — all through a 5-stage pipeline.

→Investigator nails down requirements through conversation
→Planner maps dependencies and assigns specialists
→Critic reviews outputs against success criteria

Analyze

Break down ambiguity into clear requirements

→↓

Plan

Assign specialists and map dependencies

→↓

Execute

Run tasks in parallel with governance

→↓

Review

Check outputs against success criteria

→↓

Optimize

Learn patterns for next time

Ada

Lead Engineer

Precise, methodical, relentless debugger

Ogilvy

Strategist

Persuasive, data-driven, big-picture thinker

Curie

Researcher

Curious, thorough, hypothesis-driven

Eames

Designer

Elegant, user-obsessed, constraints-as-inspiration

Turing

Analyst

Logical, pattern-seeking, first-principles

Ritchie

Systems Architect

Minimal, pragmatic, build-it-once

Orwell

Writer

Clear, concise, no jargon

Nightingale

QA Lead

Meticulous, evidence-based, zero-tolerance

Deming

Optimizer

Process-obsessed, continuous improvement

Eisenhower

Project Lead

Decisive, priority-focused, delegation expert

Audit

Code & Work Audit

Every piece of work is reviewed before it ships. Q reads diffs, runs security scans, and blocks anything that doesn't pass.

→Plain-English diff summaries for every change
→Security scan with categorized findings
→Nothing ships without passing quality gates

server.ts — Q Audit

Q Reviewed1 Warning

+ import { validateInput } from "./utils";
  const query = req.body.query;
- const API_KEY = "sk-live-9a3f...x72";
+ const API_KEY = process.env.API_KEY;

CriticalExposed API key in source — moved to env

PassTests passing — 12/12 suites

PassNo regressions detected in affected modules

Memory

Q gets smarter about you.

Preferences remembered. Patterns detected. Context retained across conversations. Every project benefits from everything Q has learned about how you work.

Preferences

Tech stack choices, coding style, naming conventions — Q remembers so you never repeat yourself.

Patterns

Q detects how you like to structure projects and applies those patterns to new work automatically.

Context

Past decisions carry forward. Q understands why you chose X over Y and factors that into future recommendations.

The Authority Model

One choke point. Total accountability.

Owner

Every agent has exactly one human owner. No shared accounts, no ambiguity. One person is accountable.

Purpose

A plain-English description of what the agent is for. If a task falls outside the purpose, Q blocks it.

Spend Ceiling

A hard daily dollar limit. When the agent hits it, work stops. No surprise bills, ever.

Permission Envelope

Granular access: file read/write, shell, network, email. Each scoped individually. Least-privilege by default.

Escalation Path

When something is outside the envelope, Q escalates to you via your preferred channel. You decide, not the agent.

Agent: Scribe

Authority Card

OwnerDave (you)

PurposeWriting & editing

Daily spend ceiling$5.00

Permissions

Files: readWrite: task-onlyNetwork: allowedShell: deniedSkill installs: approval required

Escalation→ Q → You (WhatsApp)

Give your agents a quartermaster.

Permissions, spend ceilings, audit trails — governed in real time. Pick a plan and activate Q in minutes.

Get Started →

Not a chatbot.Your sharpest colleague.