AI automationFor product + engineering teams

Automatethe tech workyour teamrepeats.

We build one reliable AI workflow for a repeated development, testing, documentation, or server task inside the tools your team already uses.

Common first projects

  • Test a code change and prepare it for review
  • Run QA and return a clear failure report
  • Update documentation after code changes
  • Follow a server procedure with approval before risky steps
Book a 30-minute task review

Leave with a clear scope, risk check, and an honest yes or no.

AIflowiz / delivery checklist

What every
pilot includes

A clear path from repeated task to tested result.

  1. IN

    Task

    The repeated task and result you need

  2. CX

    Access

    Code, docs, and step-by-step procedures

  3. AU

    Safety

    Only approved tools and actions

  4. OUT

    Output

    Finished file, report, code change, or action

  5. OK

    Proof

    Test results, activity logs, and final approval

Where does work get stuck?

Select the pressure point

Choose the closest bottleneck to see what we can automate, what your team still approves, and what you receive at delivery.

DevelopmentBuilt around your tools, access rules, and approval steps

Tickets lose momentum between the issue, the codebase, and review.

We can build a workflow that reads the task, works inside the repository, runs checks, and prepares the result for review.

Today

Issue → repeated context → partial code → manual cleanup

After automation

Issue → plan → code → build/test → review-ready change

Project rules and context
Reusable development workflow
Build and test execution
Your approval before merge
Review this development task

These patterns come from day-to-day engineering work. The client records and public proof below show the systems and underlying technical ability without inventing results.

Client work / two live systems

The proof has a working interface.

02

Separate project records, authentic captures, and live destinations.

01

Remote development infrastructure

TermStream

Persistent AI coding work, controlled from any browser.

A secure browser and mobile control plane for persistent AI coding sessions on infrastructure the user owns.

Open project
02

Personal knowledge interface

Second Brain.Deck

Capture an idea now. Find its relationships later.

A visual command deck for capturing what matters, retrieving it when useful, and navigating a growing Obsidian vault.

Open project

Each project owns its story, screenshots, controls, and live product link.

View all client work
How it works04 clear stages

Small first.
Visible throughout.

The first project stays narrow so you can judge a working result before funding anything larger. Scope, price, and approval criteria are written before implementation starts.

  1. 01

    Bring one repeated task

    Show us the task, who handles it today, and what a correct result looks like.

  2. 02

    Agree on access and safety

    We define the tools, access, success criteria, exclusions, and every action that needs your approval.

  3. 03

    Build in your environment

    We build the automation against a real example inside the environment and tools it will use.

  4. 04

    Approve a tested result

    You get a live run, test results, setup instructions, known limitations, and the code needed to keep using it.

You control what AI can do

The automation gets only the access the task requires.

We limit credentials, require your approval before destructive or public actions, and document what the workflow can do, cannot do, and how to stop it.

Introductory pilot price

$950
Kickoff
$475
Final approval
$475
Delivery target
7-14 days
Larger-project credit
30 days

Not included at the introductory price: custom product UI, compliance certification, ongoing hosting, 24/7 support, or more than three connected tools.

Before we start

Questions worth asking.

Have a boundary that is not covered here? Ask directly.

Q1How do you prevent AI from making unsafe changes?

We agree on access rules before building. Destructive or public actions require your approval, credentials get only the access the task needs, and the setup guide explains logs and recovery steps where the connected tool supports them.

Q2How is this different from using ChatGPT ourselves?

A chat can suggest the next step. We deliver a repeatable workflow connected to your approved project context and tools. It performs the same defined task, runs the agreed checks, and returns evidence for your review.

Q3What do we get for $950?

We automate one clearly defined task, connect up to three tools, test it on a real example, and deliver the code, test results, and setup guide in 7-14 days. Custom product UI, compliance certification, ongoing hosting, 24/7 support, and extra integrations are quoted separately.

Q4Do we need to replace our current tools?

Usually no. The first choice is to connect the repositories, documentation, chat, infrastructure, or business tools you already use. If a tool creates a hard limitation, you will see that tradeoff before we propose a replacement.

Q5Do we need to know which AI tools or integrations to use?

No. Show us the task and the tools involved. We recommend the simplest setup and explain where an AI workflow, reusable instruction, or tool connection is actually useful.

Start with the real work30 minutes / no deck

The best brief is the task your team keeps restarting.

In 30 minutes, we will map the task, identify the risky parts, and decide whether the $950 AI Automation Pilot is a sensible first move. If it is not, we will say so.

Book a 30-minute task review

Bring the real process. Leave with a clear scope, risk check, and an honest yes or no.