Start with the original ask.
When work begins through SMS, iMessage, or a customer message, store the source and the exact request. A text message AI assistant can create the initial receipt from that inbound context.
Use-case guide
Turn chat history into AI receipt logs.
A personal AI assistant transcript is useful, but it is not a work system. Convert important chat moments into receipt logs so each action has source evidence, approval state, owner, and outcome.
Capture decisions, not every sentence.
The receipt log should extract the moments where the assistant moved work forward: a request arrived, evidence was found, a draft was prepared, an approval was needed, or an outcome was logged.
Add browser evidence.
If the assistant checks accounts or pages, attach the context through computer-use cache.
Separate drafts.
Keep generated replies, briefs, or pages distinct from the evidence that caused them.
Publish carefully.
For AI agent website building, the receipt log should show sources and approval before publishing.
A clean conversion workflow.
Use four passes: identify work moments, attach evidence, assign state, and log the outcome. That turns an unstructured chat into an auditable queue.
Find work moments
Detect requests, commitments, drafts, blockers, approvals, and completed work.
Attach evidence
Save links, messages, browser state, files, screenshots, and assumptions.
Assign state
Mark each card as drafted, blocked, approved, sent, published, or archived.
Log outcome
Record what changed and what the assistant should remember next time.
Receipt log checklist.
Extract only the work that needs proof.
Source
What exact chat message, customer note, or user request created this work item?
Evidence
What did the assistant inspect before drafting or acting?
State
What decision does a human need to make now?
Outcome
What happened after approval? Super is useful when receipt logs connect chat, browser work, and generated outputs.
Sources and assumptions
This guide is based on personal AI assistant workflows, AI chat transcripts, message-native intake, browser-use agents, human approval queues, and agent-generated publishing. Relevant Super workflows include Super, text message AI assistance, computer-use cache, and AI agent website building.