Marketing teams know the story too well: brilliant strategies on slides, scattered docs and tools, a heroic scramble to execute, and a constant feeling that planning and delivery live in different worlds. That gap costs time, momentum, and often the best ideas. The result is familiar: campaigns that ship late or never quite match the ambition of the original plan.
Juma steps directly into that gap and quietly removes it. Built as the AI workspace for marketing teams, Juma unites research, strategy, content creation, and analysis in one place, then goes a step further by actually doing the work. It is not another chat window. It is a working environment that feels like adding a high-performing teammate who understands your brand, your data, and your deadlines, and then keeps everything and everyone moving.
Most marketing stacks look like a museum of good intentions: docs over here, briefs over there, analytics somewhere else, and creative tools in yet another tab. Juma starts by collapsing all of that into a single AI workspace designed specifically for marketers. It creates a place where strategy decks, channel plans, content calendars, and performance dashboards are not separate artifacts but parts of one living workflow.
Inside that workspace, teams do their research, shape their strategy, create content, and analyze outcomes, all with Juma as the connective tissue. Juma ingests briefs, historical performance, customer insights, and brand guidelines so that every step of the process is informed by the same source of truth. The system is not just "aware" of the work. It is embedded in it.
This unified environment changes how collaboration feels. Strategists, writers, performance marketers, and brand leads can work together inside Juma, guiding and refining the same workflows instead of passing static documents back and forth. Feedback is no longer just comments in a margin, but instructions Juma can incorporate into its next iteration.
As teams adopt Juma as their primary AI workspace, the friction between planning and execution starts to disappear. You do not have to translate strategy into separate execution tasks across disjointed tools. Juma understands the strategy, interprets it, and uses it to drive the work forward.
The result is a workspace that feels less like a collection of tools and more like a shared operations layer for the entire marketing organization. Planning is no longer theoretical. It is inherently tied to what is about to be produced, shipped, and measured.
Juma is intentionally described as a superagent for modern marketing teams, and that distinction matters. Traditional AI assistants are good at conversations. They can brainstorm headlines or summarize documents, but they rarely own a complete workflow end-to-end. Juma is built to do exactly that.
It executes complete workflows autonomously. Once a team defines the goal and guardrails, Juma can analyze performance data, synthesize insights, draft campaign strategies, generate content tailored to each channel, and prepare ready-to-use assets. It treats marketing work like an interconnected system rather than a collection of isolated tasks.
This is where Juma feels fundamentally different from a generic AI assistant. When you ask for a paid social campaign, you are not just getting a list of suggestions. You get campaign structures, variations of creative built from your brand voice, channel-specific copy, and logical next steps that respect your objectives and constraints. Juma is quietly taking on the executional burden that usually eats a team's week.
Because it is a superagent, Juma is also built to respect context across time. It does not forget the performance of last quarter's launch, the nuances in your ICP, or the subtle decisions you made as a team around tone and positioning. It learns from that ongoing context and carries it into the next wave of work, so improvements become cumulative, not episodic.
For marketing leaders, this shift is profound. Instead of investing energy in chasing updates and unblocking individual tasks, they can focus on the bigger questions: the narrative of the brand, the shape of the go-to-market motion, and the quality of decisions that steer budget and attention. Juma makes space for strategic leadership by quietly handling the mechanics.
Before it became Juma, the product was known as Team-GPT. That earlier name captured something important: AI that was built for teams rather than individuals. The evolution from Team-GPT to Juma signals more than a rebrand. It reflects a shift from "AI inside your team" to "an AI workspace where your team actually works."
The Team-GPT era proved that collaborative AI could change how teams ideate and communicate. With Juma, that concept has matured into a complete working environment. The capabilities are less about one-off interactions and more about continuous workflows: campaign development, content systems, reporting rhythms, experimentation, and learning loops. Juma is where those cycles happen.
The new identity also clarifies the product's ambition. Juma is not a niche tool or a clever add-on. It is positioning itself as foundational infrastructure for modern marketing teams, the place where planning, execution, and learning all live together. In that sense, "Team-GPT is now Juma" is a natural next chapter in a story about helping teams do their best work with AI sitting at the operational core.
If you zoom into a typical campaign lifecycle, the gap between planning and delivery shows up in small but costly ways. There is a lag between the insights deck and the brief. The translation from brief to creative concepts. The handoff from strategy to channel-ready assets. Juma inserts itself at each of those seams and quietly stitches them together.
Teams can sketch a strategy inside Juma, then immediately ask the system to turn that strategy into specific deliverables: email sequences, social content, ad copy, landing page structures, and more. Because Juma already understands the initial thinking, the outputs are not generic. They are anchored in the decisions the team has already made. Iterations happen in the same space, guided by human feedback and executed by the superagent.
This collapsing of steps has a practical effect on tempo. Campaigns move from idea to launch faster, but without sacrificing depth or consistency. Crucially, the people on the team are not doing more manual work in less time. They are doing less manual work overall and spending more attention on framing the right problems, refining the story, and aligning stakeholders. Juma is the quiet engine that keeps the work flowing.
In many organizations, research and analysis sit at the edges of the process. Teams do research up front, then revisit analytics at the end. Juma rearranges that pattern. Since it is the AI workspace for marketing teams, research, creation, strategizing, and analysis happen in a continuous loop.
Juma can pull in performance data, uncover patterns, and explain what is working and why. Those insights become raw material for the next strategy, which Juma can help shape in detail. From there, the same environment becomes the place where channel-specific content and creative assets are generated and refined, ready to plug directly into existing workflows and tools.
Because all of this lives in the same system, the distance between learning and action shrinks. A new insight is not a slide in a deck. It is a direct instruction to the superagent that changes how the next wave of work is generated. Over time, this loop compounds: Juma becomes better at serving the team, and the team becomes better at using Juma to operationalize what they know.
Juma represents a quiet but significant shift in how marketing teams operate. It is the AI workspace where planning, research, strategy, creation, and analysis live together, and the superagent that turns those plans into real, ready-to-use assets. The journey from Team-GPT to Juma reflects a maturing idea: AI should not just participate in the conversation, it should be trusted to do the work. The result is simple and powerful. The gap between planning and delivery, once a stubborn constant of modern marketing, turns into a single continuous flow of work that actually ships.