Practical AI consulting
We design and build AI workflows that handle the follow-ups, organize the information and keep work moving. Built around the tools you already use.
Filmmaker
I use AI workflows alongside email and project management software in my own work. That firsthand experience is the starting point for DANI.
This is what I mean by agentic solutions: an AI assistant or chief of staff with a clear job, access you control, and rules that help it get meaningful work done. Give it responsibilities as you would an employee: an agreed routine, clear boundaries, and you in charge of the final decisions.
View illustration at full size I build an organized workspace with project folders, relevant reference files, clear instructions, and boundaries for the work. Current task notes and a maintained handover give the assistant somewhere to pick up from, instead of starting with a blank chat each time.
An organized workspace, ready for the next taskProjects hold current work. Knowledge keeps useful references. Skills contain instructions and repeatable workflows.
Three examples from my own work. Drawings use made-up details. I review the outputs and confirm what happens next.
A meeting transcript holds decisions and open questions.
I use AI to pull decisions and open questions from a transcript, with timestamps to check the source. One resulting agenda was reused in the next meeting.
Transcript → decisions → next agendaFollow-ups arrive as screenshots.
AI helped turn production follow-ups into three Basecamp tasks with owners, due dates, and related links. I review the owners, dates and context before relying on the task list.
Screenshots → organized tasks → reviewThe relevant context is spread across an email chain.
AI brings together what happened, the current blocker, and what needs my attention in a source-linked brief. I check the summary before deciding what to do next.
Email chain → linked brief → next stepsThe tools you already know
How we work
I started with real tasks, gave the AI the right context with all my projects within its own folder. Context is key.
something you can actually use ↗Updating an Excel tracker. Copying details from emails. Chasing the same follow-ups. We’ll walk through a routine you don’t enjoy doing, then work out what your AI agent can take on and where you still want the final say.
Give it a proper desk: organized project folders, relevant reference files, clear instructions, and the context for its task. Set up approved tools and permissions, write the steps, and choose when it needs to ask you.
Test ordinary cases, missing information, and mistakes. Check what it can actually read and carry forward, inspect the result, and make corrections. Keep a short handover current with progress, open questions, and next steps. Agree who maintains it and what support comes next.
About me
I’m KaMeek Lucas Taitt, a film producer. My day moves from script notes and casting decisions to working with the director and department heads, keeping the creative vision connected from filming through editing and visual effects.
There are always questions to answer, problems to resolve, feedback to organize, and next steps to follow through on. That’s what led me to build AI into my own workflow, helping me keep the moving parts organized so I can give more attention to the creative vision and you know, making sure the movie is cool!
Selected production experience
I use AI assistants on a daily basis in my project management software. They've become part of how I organize incoming work, research questions, and keep projects, as well as personal tasks moving forward.
KaMeek Lucas TaittWhat you can expect
I'm the person mapping the work, building the first version, and walking you through it.
We choose a repeatable task with a clear owner and result, then test it in the tools you've approved.
Scope, access, costs, ownership, and support are agreed before the build.
FAQ
With one job that keeps taking time. We'll look at approved examples, agree what a useful result would be, and build a small first version to test. You don't need to arrive with a technical plan.
Those are possible starting points to assess with you. We'd check the connections, permissions, and any extra costs before agreeing a build, then test the workflow in your setup.
Routine steps can run within the permissions we agree and test. An assistant can organize requests, gather background, and track follow-ups on its own. External messages, spending, access changes, and consequential changes to business records need human approval. The routine should pause when information or permission is missing.
We agree what it can read and where the work runs, whether on your computer or through approved online services. Running AI on your computer doesn't by itself keep every connected tool local. We'd check where information is sent and stored and keep access limited. First projects exclude raw card data and Social Security numbers.
I quote for the agreed job: what needs connecting, the information involved, and the testing and support it needs. We'll agree the price, any tool subscriptions, and what's included before work starts.
We'll define ownership of the work, accounts, and documentation in the scope. You'll get an operating guide and a walkthrough. Hosting, maintenance, further changes, and ongoing support are agreed clearly before we commit.
It's a way to delegate particular tasks to software. People remain responsible for decisions and relationships. We judge a first project by how well it handles the agreed work, without assuming it can take over a whole role.
Book a callwith KaMeek
Bring one task that's taking up too much of your day. We'll talk through how AI could help. You don't need a technical plan.