From a question to work you can use.

Set up a conversation that stays useful

DeepChat is an account-based workspace with saved conversations. Open the app, create an account or log in, and start a new chat for a distinct piece of work. A launch plan and a translation are easier to revisit as separate conversations than as unrelated turns in one long thread. The examples below are readable without an account; running a prompt in the workspace requires one.

Start with four things: the task, the relevant facts, the constraints, and the shape of the answer. “Make a plan” leaves the assistant to guess. “Make a five-day plan for one person, using the tasks below, with a maximum of two hours per day” gives you something you can evaluate.

The Run Settings panel offers Normal and Intelligent models. Start with Normal for a short rewrite or a straightforward outline. Try Intelligent when you need to reason through competing constraints, then compare the results against the same checklist. Model selection does not make an answer factually correct by itself. Use the thinking controls when you need to change reasoning settings, and keep the requested output small enough to review.

WORKFLOW 01 · PLANNING

Turn a project brief into a realistic week

Suppose you are preparing a small workshop. You have five working days, two hours per day, and no confirmed venue. The useful output is not a polished promise that everything will be ready. It is an ordered plan that makes the venue dependency visible and leaves room for a decision if it falls through.

Give the assistant the constraints first

I am organizing a fictional 12-person writing workshop.
I have five weekdays and at most two hours per day.
Known facts: the outline is drafted; the venue is not confirmed;
the invitation must include the venue; registration is not open.
Tasks: confirm venue, revise outline, write invitation, test registration.
Return a day-by-day plan with task, time estimate, dependency,
and definition of done. Keep each day within two hours.
Separate assumptions from facts. Do not invent bookings or attendees.
Include a fallback if the venue is not confirmed by day two.

What a usable result looks like

An illustrative first day might allocate 30 minutes to contacting the venue, 60 minutes to reviewing the outline, and 30 minutes to listing registration requirements. The invitation can be drafted with a location placeholder, but it cannot be sent as a final invitation until the venue is confirmed. “Email sent to venue” and “venue confirmed” are different completion states.

Check the total for each day yourself. If the answer assigns three hours of work to a two-hour day, ask it to revise the schedule instead of accepting the contradiction. Check dependencies too: testing a registration form requires a form to exist. If creating it was omitted from your task list, the assistant should flag the gap rather than silently assume it is done.

Audit this plan against the original brief. Show any day over
two hours, tasks missing a prerequisite, and assumptions that need
my confirmation. Revise only the affected days. Keep venue status
as unconfirmed until I explicitly provide an update.

Before execution, assign a real owner to every task and replace estimates with your own judgment. The assistant cannot confirm a venue merely by describing a confirmation. Save the final plan in the conversation, then export it if you need to share it outside DeepChat.

WORKFLOW 02 · WRITING

Improve a draft without adding unsupported promises

A rewrite can sound better while becoming less accurate. This is especially easy when a draft mentions dates, prices, service guarantees, or product capabilities. Give the assistant an explicit fact boundary and ask for an explanation of changes, not just a replacement paragraph.

Consider this fictional draft: “We are preparing an online writing workshop for October. The date is still being decided. Join the interest list and we will email details when registration opens.” A bad rewrite might introduce “limited seats,” “expert tutors,” or a confirmed start date. None of those statements is supported by the draft.

Rewrite the draft below for a clear, friendly email.
Audience: people who joined a workshop interest list.
Limit: 90 words. Preserve every factual qualification.
Do not add dates, prices, scarcity, credentials, or guarantees.
Return the revised draft, followed by a list of factual claims
and the exact input sentence that supports each one.

Draft: We are preparing an online writing workshop for October.
The date is still being decided. Join the interest list and we
will email details when registration opens.

Review the claims separately from the style

An acceptable illustrative revision is: “Interested in our October online writing workshop? We are still confirming the date. Join the interest list and we will email you the details when registration opens.” This preserves the uncertainty. It does not imply that joining the list reserves a place or that payment is available.

Read the claim list against the original yourself. An assistant can incorrectly label an invented statement as supported. Remove any promise that has no source, then check tone and length. If you need a Romanian version, ask for a translation of the approved revision, with names and dates preserved. Have a fluent speaker review important public copy; an AI translation may miss register or local phrasing.

Now make the approved revision shorter. Preserve the uncertain
date and the distinction between an interest list and registration.
Do not add a new call to action. Show the changed sentence only.

Working one paragraph at a time makes changes easier to inspect. Keep the approved version in a clearly marked message so it does not get confused with an earlier draft. A Markdown export is useful when handing copy to someone who will edit or publish it elsewhere.

WORKFLOW 03 · DECISIONS

Compare options using the same evidence

An assistant can help organize a decision, but a confident ranking is not evidence. Supply the same fields for each option and preserve unknowns. For example, compare two fictional meeting rooms: Room A costs €120, seats 12, and has a projector; Room B costs €90, seats 16, and has unknown projector availability. Both fit a €150 budget. The choice depends on whether the projector is essential.

Compare these fictional rooms using only the supplied facts.
A: €120 total, 12 seats, projector included.
B: €90 total, 16 seats, projector availability unknown.
Requirements: 12 people, budget at most €150, projector required.
Give a comparison, unresolved questions, and a conditional
recommendation. Do not turn an unknown into yes or no.
Do not assume availability, taxes, cancellation terms, or reviews.

Separate eligibility from preference

Room A satisfies the stated capacity, budget, and equipment requirements. Room B has more seats and a lower listed cost, but projector availability remains unresolved. A reasonable provisional choice is A, subject to confirming availability and final terms. B becomes an alternative if its equipment is confirmed and the final total stays within budget.

The €30 difference is a direct calculation from the supplied figures, not evidence that B is better value overall. Ask the venue about taxes and equipment fees before treating either amount as a final quote. This same approach works for software plans and project proposals: define disqualifying requirements first, then compare preferences among eligible choices.

DeepChat also offers AI Agency mode with a topic and two participant roles. You can ask one role to argue for the provisional choice and the other to identify missing evidence. Treat both as generated perspectives, not independent experts or verification. They may repeat the same mistaken assumption. Return to the original facts before making a decision.

Check the result, then take it with you

Before using an answer, perform a short final pass: which statements came from you, which are assumptions, and which need an external source? Recalculate totals. Open cited sources yourself. Test code in an appropriate environment. If a question depends on a current price or availability, verify it with the provider; the examples in this guide do not perform live lookups.

1. Keep context together. Continue the same conversation for revisions to the same task. Start a new chat when the subject changes.
2. Choose a format. Use Markdown export for readable text and JSON export for structured data. Inspect an export before sending it to someone else; it may contain material from the conversation that you did not intend to share.
3. Validate structured answers. Run Settings includes a JSON object response format. Give the desired keys and types in the prompt, then parse and validate the result in the receiving tool. Valid JSON alone does not mean the values are correct.
4. Manage retained work. The account workspace includes export and deletion controls. Export anything you want to keep before using a deletion control, and read its confirmation carefully.

You do not need the longest answer or the most elaborate prompt. A useful conversation produces a result you can inspect, correct, and reuse. When a response misses the brief, name the specific mismatch and ask for a targeted revision.

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