AI workflow engineering for technical teams

Useful automation.
Explicit boundaries.

I build one recurring developer workflow at a time—with human approval before consequential actions, deterministic tests, logs, retries, and an operator handoff. No “autonomous employee” theater.

Encrypted form · send three non-sensitive details · receive a clarification, a no-automation recommendation, or a written scope.

Choose the smallest useful step

• $250 review: choose this when you have a design or trace but want failure modes and acceptance tests before implementation.
• $750 setup: choose this when Exocortex is the intended tool and you want a working, configured installation.
• $2,500 sprint: choose this when a repeated workflow already has measurable cost and needs implementation.

What the price includes

• $750 setup: one machine or environment, one chosen provider, one supported integration, configuration, handoff, and seven days of bug-fix support. Provider/API fees, custom feature development, production credentials, and multi-system workflow design are excluded.
• $2,500 sprint: one defined trigger-to-outcome workflow, up to two existing systems, tests, documentation, approval and kill paths, handoff, and fourteen days of bug-fix support.
• A sprint starts higher when: it needs custom integrations, additional systems, unclear ownership, substantial migration, or regulated-data/security review. Scope is never expanded silently.
• Every engagement: starts only after a written scope, dependencies, exclusions, price, and binary acceptance test.

How to start

Use the encrypted inquiry form or email three non-sensitive details: what triggers the workflow, how often it occurs, and which systems it touches. I will reply with either a clarification, a recommendation not to automate, or a written scope. Do not send passwords, API keys, production data, or customer records.

Good fit

A 3–50 person technical team already using coding agents or LLM APIs, with a repeated repository, browser, QA, release, support, or internal-tool workflow. The task should happen weekly and have a measurable cost.

Examples of bounded workflows

• Turn an approved GitHub issue into a tested draft PR, while a human retains merge and deployment authority.
• Collect release inputs, run deterministic checks, and prepare an evidence-backed checklist for human release approval.
• Deduplicate and tag repeated support reports into engineering issues without sending customer-facing replies.
• Run browser or QA checks, retain logs and screenshots, and escalate failed assertions to an operator instead of clicking through uncertainty.

Public proof

• Exocortex — persistent agent orchestration, bounded delegation, concurrency controls, tools, durable scheduled work, and operator-facing TUI.
• vimbrowser — CEF browser with first-class CDP and local automation IPC.
• Systems portfolio — TypeScript, C, Rust, Linux, browser, messaging, media, and ARM work.

Practical resources

• Generate a private first draft with the local workflow acceptance-test builder. It runs entirely in your browser and sends no inputs anywhere.
• See exactly what the entry offer delivers: sample reliability review for an issue-to-draft-PR agent.
• Before putting an agent workflow into production, use the 15-point bounded-agent reliability checklist. It covers replay, approval gates, idempotency, state drift, credentials, and recovery.
• Read the implementation case study: handling multi-window AI provider rate limits without stale state.

Before any payment

You receive a written scope, dependencies, exclusions, price, and binary acceptance test. I will say so if the automation is unlikely to repay its implementation cost. Credentials stay in client-controlled accounts.

Not offered: access-control bypasses, spam, fake engagement, unattended deployment or customer messaging, regulated-data handling without a security review, or claims of perfect AI accuracy.