A queryable work history is a structured record of what you worked on, when you worked on it, and which client or project it belonged to. Once those details are stored together, you can ask questions about past work in plain English.
Most firms keep parts of this information in separate systems. Files show the output, timesheets show recorded hours, and project tools show assigned work. Those records rarely provide a complete chronology on their own.
What the record needs to contain
Useful work history needs more than a list of documents. Each entry needs a time, a duration, a client or project, and a description of the task. Those fields make it possible to group work by day, person, client, project, or activity.
The information also has to be recorded while the work is still clear. A description written on Friday from memory will contain less detail than one drafted while the client and task are visible on screen.
Timeglass creates this record from work on screen. It prepares entries with the relevant time, client, project, and task, then asks the worker to review and approve them.
File search stops at the document
File search is good at finding the Henderson proposal when you remember a word inside it. It cannot tell you how much work supported Henderson across the quarter.
Questions about work often need information from many entries. A firm may want to know how much time a client used last quarter, which projects exceeded their estimates, or how much unbilled work supported a matter. No single file contains those answers.
A queryable history can answer them because each entry uses the same structure. The system can filter and total records across a period without asking someone to reconstruct the period manually.
The answers depend on the underlying data
A conversational interface does not repair incomplete records. If time is missing or assigned to the wrong client, an AI assistant will use those errors when it answers a question.
Timeglass builds the record throughout the day, while the work and its context are available on screen. The worker then checks the draft. This combines automatic capture with human confirmation before the data is used for billing or reporting.
Consistent client and project attribution matters as much as complete capture. A detailed record assigned to the wrong matter will still produce a wrong total.
Timeglass connects to Claude and ChatGPT so you can ask questions about approved work records in ordinary language.
What firms can ask
A firm can use the record to review time by client, project, person, or period. It can compare recorded effort with estimates, find projects that repeatedly run over budget, and prepare a more complete account of work for a client or internal review.
Individuals can use the same history when writing a performance review, preparing a handover, or checking how their time changed across several months. The answer comes from approved entries rather than a fresh attempt to remember the period.
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Common questions
FAQ
What is a queryable work history?
It is a structured record of professional activity that connects each entry to a time, client, project, and task. That structure lets you ask questions across the record in plain English.
How is this different from searching my documents?
Document search locates a particular file or phrase. A queryable work history can total and compare activity across many entries, such as all work for a client during a quarter.
Can I ask ChatGPT or Claude questions about my work data?
Yes. Timeglass connects to Claude and ChatGPT so you can ask about clients, projects, and time periods in ordinary language. The answers use your reviewed work records.
What makes work data accurate enough to query?
The record needs complete entries, consistent client and project attribution, and human review. Missing or misassigned time will also make the answers incomplete or incorrect.
