Prompt with a proper brief
Name the audience, channel, goal and constraints before asking for a draft.
Planned AI training for marketers practises the work a campaign depends on: writing a proper brief, drafting for the channel, keeping the brand voice and checking every claim before it goes out. Each lesson ends with a real task in the AI tool your team uses, graded against a rubric the learner can see.
Planned launch trial: 7 days, card required, up to 5 seats.
You will continue on the Tosheo.ai app to create your account and review the trial terms.
Name the audience, channel, goal and constraints before asking for a draft.
Adapt an idea for email, a landing page or a short social post without losing its meaning.
Use supplied brand examples and explain where a draft falls outside them.
Separate a useful source from a plausible unsupported marketing statement.
Generate alternatives that serve the same audience rather than repeat a generic slogan.
Remove unsupported comparisons, verify figures and explain the changes you keep.
A fictional consultancy is running a workshop on clearer project briefs. The supplied facts are: a 60-minute online session, a practical worksheet and a live question period. Ask an AI tool for an invitation email for operations leads. Remove any invented attendance, outcomes, scarcity or endorsements. Submit your revised email and a short explanation of the changes.
The email makes the workshop relevant to an operations lead and has one clear next step.
Every factual claim can be traced to the supplied brief; no invented results remain.
The writing is direct and the learner explains which generated phrases they changed and why.
Start with a low-risk draft that someone already knows how to review. A campaign email built from a fictional brief works well because the audience, the evidence and the editing decisions are all visible. The lesson makes those decisions clearer before the team applies the approach to real client or brand work.
The planned role path combines a 5-minute diagnostic with short explanations, worked examples and practical tasks. Its purpose is to connect AI habits to the decisions a marketer makes, rather than ask everyone to complete the same generic playlist. A marketer who already drafts with AI daily should start further along than one who has barely opened ChatGPT.
Each planned lesson takes 10 to 15 minutes: a short explanation, a worked example from a marketing role and a hands-on task with the team's own AI tool. Here is the shape of one on claim checking.
The explanation covers why generated marketing copy tends to add proof that was never supplied: statistics, customer counts, awards and testimonials. The worked example shows a fictional brief for a project-planning workshop and a first draft that includes 'Join thousands of managers who have transformed their planning' and 'Rated the best workshop of the year.' Neither appears in the brief.
The task asks the learner to produce their own draft, find and remove every unsupported claim, and explain each change. The feedback names specific sentences, for example: 'Your subject line still implies limited places; the brief says nothing about capacity.' Invented testimonials are not only a quality problem. The US Federal Trade Commission's rule on fake reviews and testimonials, announced on 14 August 2024, addresses reviews and testimonials that misrepresent that they are by someone who does not exist, such as AI-generated fake reviews.
A realistic first month is a few short lessons a week per person, with one team conversation about real work. The plan below is a suggested rhythm, not a measured result.
The manager selects the Marketing role and the tools the team uses, optionally uploads a brand guide on the planned Growth plan, and invites the team. Everyone takes the diagnostic and their first lesson on writing a brief.
Lessons on adapting one idea for email, a landing page and a short social post without changing what it promises.
Practice keeping a draft within supplied brand examples, and separating a sourced fact from a plausible unsupported statement.
A practice scenario, such as a client asking for a campaign plan by tomorrow, scored against a visible rubric. The manager discusses one real, low-risk piece of AI-assisted work with each person.
The planned manager dashboard shows active learners, completion, an average skill level and a per-person view across the marketing skill map, plus a weekly email digest and a reminder for anyone inactive. It does not show raw chat logs from learners' practice.
That boundary is deliberate. The dashboard can tell you that someone is strong at drafting but weaker at claim checking. It cannot tell you whether their last client campaign was accurate. For that, review the work: ask the learner to show the supplied material, the first draft and the final edit, and explain which claim was unsupported and which instruction needed more context.
Most questions are about overlap with tools the team already has, price and trust in the grading. The short answers are below.
Tosheo.ai does not replace the tool and does not include a subscription to it. It teaches people to use the tool you have well, with tasks graded against a rubric.
The diagnostic is designed to place experienced users further along. Daily users often benefit most from claim checking and voice control, where habits are formed and rarely reviewed.
The planned Team plan is $19 per seat per month with a five-seat minimum, or $15 per seat per month billed yearly. Brand-guide grounding is on the planned Growth plan. Prices are a starting hypothesis and the pricing page has the detail.
It grades against a visible rubric, so the learner can see what was assessed. A learner who disagrees can flag the score for review.
Uploaded documents are planned to be isolated per company, deleted on account closure and never used to train models.
If you need training on a specific marketing platform's AI features, such as an ad network's automated bidding or a design tool's image generation, the vendor's own training is more precise. If you need courses in non-English markets, note that lessons are planned in English only at launch.
It is also not a fit if nobody on the team will review the practice. The value comes from discussing what was changed and why. The product is pre-build: the six skills and the task below describe the intended role experience, not completed customer training or validated assessment performance.
The planned Team plan is $19 per seat per month with a five-seat minimum, or $15 per seat per month billed yearly. Growth, planned at $29 per seat with a 20-seat minimum, adds company-document grounding and custom roles. Pricing is a starting hypothesis; see the pricing page.
No. The planned diagnostic and adaptive path adjust the starting point and difficulty, so two marketers in the same role can get different practice. The actual app experience remains subject to launch verification.
No. The examples work with fictional material. On the planned Growth plan you can upload 1 to 5 company documents, such as a brand guide, so examples use your context. Follow your company policy before using real client information.
The manager selects the tools the team uses during setup, from ChatGPT, Claude, Gemini, Copilot, Notion AI and Canva AI, or other. Tasks are completed in those tools. Subscriptions to them are not included.
A 7-day free trial is planned, with a card required and up to five seats, so a small marketing team can try the diagnostic and early lessons before paying.
A recognised certificate is planned for learners who complete the role path and pass a final practical assessment, with a verifiable URL and a LinkedIn share option. Certificate terms are still being finalised.
Explore the planned role-specific lessons, practical tasks and manager view.