David SchweickartRichmond, Virginia
← How I use AI

From individual tasks to connected workflows

Keeping context, decisions, and lessons available as the work develops.

Give the work a purpose and an owner

I can begin with a voice note, a business question, a technical problem, or an idea for a story. The first task is to identify what needs to happen: who the result is for, what it should support, and how I will know it is ready to review.

I provide the objective and the judgment about what proceeds. AI can help research, organize, compare, draft, and build. A specialist, supplier, or other responsible person may need to verify a result before the next decision.

Preserve continuity

Recordings, notes, conversations, documents, and project records hold different parts of the context. I am developing ways to carry that context forward: the original observation, the decision already made, the latest correction, and the next unfinished step.

That requires more than finding a related file. The work needs to distinguish an old proposal from a current instruction, a draft from an accepted result, and something indexed from something actually reviewed.

Daily planning, launch and landing routines, and project checkpoints have been part of this exploration. Their usefulness depends on accurate status and a clear handoff.

Three workflows in practice

Observation to website revision

A recording captures what needs attention. Earlier direction and the current page provide context. The proposed change is made in the test environment, where I can read it and check it before deciding on production.

Follow the revision process →

Archive to supported story

Photographs are visually inspected and tagged, then compared with recordings and other context. A selected sequence and factual captions become an edited account. Archive processing and story development remain ongoing work.

Follow the story process →

Technical question to deeper understanding

A real application provides the question. Explanations, audio lessons, diagrams, and exercises help me explore it. Returning to the schematic or product documentation lets me examine what I understand and what I need to ask next.

Explore technical learning →

What these have in common

Each needs a defined result, relevant context, review, and a retained record. I am working to make those steps more consistent across different kinds of projects.

Use automation where the task is defined

Recurring tasks can help with bounded work such as collecting new material or preparing a review. They need a clear scope, a checkpoint, and a way to report an incomplete step. Scheduling work does not establish that it finished correctly.

When several pieces can proceed independently, I use parallel work with defined responsibilities, then review the combined result. The coordination still needs to preserve the latest decisions and resolve gaps between the pieces.

Improve the method through the failures

The work has exposed practical limits: earlier instructions can be missed, research can be repeated, and an output can look complete while omitting part of the request. Those experiences are shaping the process.

  1. Begin from the current project state and the latest relevant direction.
  2. Reuse completed reviews and retained knowledge where the underlying material is unchanged.
  3. Make missing access, unresolved questions, and incomplete work visible.
  4. Review the actual deliverable against the objective before advancing it.
  5. Match the processing effort and model capability to the task.

My goal is a process that becomes more useful with experience: less rediscovery, clearer handoffs, and reliable progress. That remains something to demonstrate through the work.

How I use AIBusiness applicationsThe information behind the work

A handoff should let the work resume

The test of a retained checkpoint is whether work can continue from it. A useful handoff identifies the deliverable, the latest decision, what was actually inspected and the next unresolved action. A list of filenames can help locate the material, but it does not explain which version governs the work.

This matters when the process crosses research, writing and implementation. A corrected instruction needs to reach the person building the result; a completed review needs to remain distinguishable from a proposed review. I want the next stage to preserve both continuity and accountability: enough context to avoid rediscovery, and enough evidence to check the stated status. Improving that handoff is part of the development work itself, and its reliability still has to be demonstrated in repeated use.