How It Works
Seven agents. One conversation.
A blueprint you can build from.
Aperture OS is a guided AI system that finds, maps, and builds the automation hiding inside your business. Share your website. Seven specialized AI agents research your operations, identify your highest-impact process, extract every step through conversation, and produce a verified implementation blueprint. No configuration required. No prior knowledge of what to automate. One focused conversation.
Start the conversationWhat happens from your first message
Stage 01
Your business gets researched before the conversation is a minute old
Share your website and Steve opens the conversation. In the background, Webster researches your business — gathering industry context, operational patterns, and automation opportunities specific to your type of company. Your workspace updates with a business intel card. You did not ask for it. The system built it while you were talking.
Stage 02
Your highest-impact process gets identified
Steve guides you through a short evaluation to find the right automation candidate. Not every process is worth automating first. The system runs each candidate against four criteria — rule-based, high frequency, data movement, boredom test — and surfaces the one that will give you the most time back.
Stage 03
The process gets extracted and mapped
Once a candidate is confirmed, Steve walks through it step by step. Trigger. Outcome. Every action between. Tools, owners, timing, decision points. A process map builds in your workspace in real time as each piece is captured. When complete, Steve reads it back. You confirm it is accurate. The map is built from your words, not a template.
Stage 04
Atlas builds your implementation plan
The confirmed process transitions to the pipeline. Atlas verifies every integration path via live web search — Zapier connections, API compatibility, platform constraints. A phased implementation plan appears: phases, checkpoints, specific actions in the right order. Everything in the plan runs on tools you already have.
Stage 05
The flywheel starts
When your first automation is running, the flywheel begins. Frequency and dollar savings appear in your dashboard. Your pipeline shows the next queued candidate, ranked by monthly exposure cost. Each automation you complete frees hours and cognitive load for the next one. One at a time, by design.
The seven agents working behind the conversation
Traditional AI tools run one model doing everything. Seven specialized agents each doing one thing well is why the conversation quality is different.
Holds the entire user-facing conversation. Guides through every phase without the user feeling processed. Focused on one thing only: the person on the other end.
Activates when a website URL is shared. Researches the business, gathers industry context, identifies automation opportunities. Delivers a full intel profile to Steve without the user seeing any handoff.
Reads emotional state in real time — skepticism, anxiety, engagement level. Builds a user profile turn by turn. Runs silently in the background on every message.
The subconscious of the system. Monitors the conversation, detects key moments, routes information between agents, and keeps everything synchronized. The user never sees Nexis work. That is the point.
Activates when a process is confirmed. Verifies every integration path via live web search. Produces a phased build plan on tools the user already has. No assumptions about what connects to what.
Compresses each completed conversation stage into a durable recap that Steve carries forward instead of raw message history. Keeps the conversation clean and dense as it deepens.
Fires when implementation completes. Reads the full session and produces a dashboard summary, context notes for the next conversation, and outreach data. When a returning user completes their second automation, Heidi builds on the first record.
What you get when the conversation ends
Not a report. A blueprint.
- →Named automation candidate with full fit evaluation
- →Process trigger and expected output — the two bookends
- →Every step mapped: action, owner, tool, timing, sequence
- →Decision points and branches identified and documented
- →Verified implementation plan with every integration path confirmed via live research
- →Phases sized to your pace, edge cases flagged before you start building
The output is built from your words, your tools, your specific process. By definition, it cannot be generic.
Why the order matters: map first, automate second, then add AI
Most people skip straight to phase three. That is why AI does not work for them. You cannot build a roof without a foundation. Phase three needs phases one and two under it first.
Map the process
Get it out of your head and onto paper. Most businesses try to automate a process that has never been documented. Aperture always starts here. The conversation IS the mapping.
Automate the process
Build it so it runs without you. The blueprint makes this concrete and executable. Zapier, Make, n8n, custom code — whatever fits your stack. You are not guessing. You have a verified spec.
Overlay intelligence
Once the automation is proven and running, add AI on top. That is where AI makes the automation smarter — not replacing the process, but amplifying what already works.
Built by someone who lived the problem
Evan Van Dyke spent seven years running a marketing agency — scaling 100+ small and medium businesses as a Google Partner. For most of that time, he was the bottleneck. The business ran on his judgment, his knowledge, his availability. He worked 60-hour weeks because the processes were locked in his head.
He spent several years systematizing it: documenting processes, building automations, progressively removing himself as the single point of failure. The agency went from requiring him constantly to running in three hours a week. He sold it in 2021.
He built Aperture OS because no tool existed to help him when he was inside it. Everything he tried assumed the foundation was already there. Aperture starts with extraction — pulling the process out first, before building anything on top of it.
Common questions about how Aperture OS works
Do I need to know what to automate before I start?
No. That is exactly what the conversation figures out. Most business owners know they need automation but cannot see which of their own processes are the right candidates. Aperture OS extracts that answer through conversation. You do not need to arrive with a plan.
How long does the Aperture OS conversation take?
The extraction conversation typically takes 20 to 40 minutes. You can pause and pick up where you left off. Aperture OS remembers everything across sessions with no reintroduction required.
What does Aperture OS give me at the end of the conversation?
A verified implementation blueprint. Your specific process mapped step by step, a phased build plan on tools you already have, and every integration path confirmed via live web research. Enough detail to hand to a developer or build yourself.
Is Aperture OS a Zapier alternative?
No. Aperture OS is the step before Zapier. It finds and maps the process. Zapier, Make, or n8n is what you use to build it once the blueprint is done. Most people fail with automation tools because they try to automate a process that was never clearly defined. Aperture OS solves that problem first.
What if my business is too unique for a generic system?
The system researches your specific business before the conversation starts. It extracts your specific process from your answers. The output is built from your words, not a template. It is specific to you by design.
Find your first automation
One conversation. Seven agents. A blueprint you can build from.
Start the conversation