Your Mindfront system is built around one central AI — a single intelligence the whole organization works with. This page follows its latest progress: the headline features first, then the smaller improvements, then the fixes.
Faster responses, the latest models, and a smoother everyday experience — chat, approvals, WhatsApp, value reporting, and the Journey.
A field photo, deployment plan, and voice note can arrive together in the WhatsApp conversation your team already uses. Your central AI system reads the combined evidence, identifies what is blocking the work, and moves the next actions forward from the same chat.
One executive view connects completed work to its model usage, final spend, and savings from reuse—so leaders can understand what your central AI system has done without reconstructing it from individual tasks.
The Journey’s left-hand index keeps every step and control in view. Move from the explanation straight into configuration, make the choice, and return to the climb without losing your place.
Administrators can see whether an instruction covers the intended work, inspect the evidence behind each match, and connect autonomous activity to a recorded outcome.
Review the exact action your central AI system wants to take, approve or decline it without leaving the conversation, and keep the decision beside its context. The work resumes there—and shows the outcome there.
Schedule a message, set a reminder, or send and remind in one continuous flow.
Focused Inbox and complete Outlook threads make the conversations that matter easier to act on.
Microsoft 365 attachments inherit the scope of the mailbox that received them.
Import a transcript directly, then continue from its report and conversation.
Startup and connection recovery spend less time between intent and a usable workspace.
Stale and failed native tunnels recover before they interrupt work.
A setup code remains editable after a provisioning attempt fails.
Autonomy and Settings controls stay stable during an active edit.
Gemini-family availability and economic selection reflect the current catalogue.
The Journey’s primary controls remain usable on mobile layouts.
The activity signal remains present throughout a long-running turn.
Decision state, counts, corrections, and evidence agree across chat and the queue.
History reports recorded work without inferring activity that never happened.
Mailbox signatures remain stable through learning, preview, refresh, and composition.
Stalled work recovers without leaving an active request permanently unfinished.
Startup and network recovery are more dependable across connection changes.
JavaScript, Go, and HTML-processing dependencies received current updates.