4 report lines keep the AI-token work visible
5 checkpoints take the work from first message to live assets. The report shows what moved. It covers narrative review, demo preparation, community guidance and engagement reporting.
| Work line | What we log | What you see |
|---|---|---|
| Narrative | Product claims and review notes | Narrative document and open questions |
| Demo | Representative task and asset status | Demo assets and technical checks |
| Community | Discussion themes and response guidance | Community management guidelines |
| Engagement | Engagement metrics and audience questions | Regular report on activity and recurring questions |
The report records work and audience response. It can surface a repeated question or an approval still needed. It does not replace product review or technical sign-off.
For a wider project map, see solutions by project type. Send us the source material behind each claim. Then we can align the narrative, demo and community guidance.
Which 3 facts should an AI-token narrative make clear?
3 facts anchor the story: what the agent does, who it serves, and where the token fits. We build the narrative from product information you provide. Every claim stays tied to what your team can explain or demonstrate.
The working document should answer these buyer questions:
- User task: what can someone ask the agent to do?
- Current capability: what works now, and what remains planned?
- Token role: how does the token relate to this product?
- Evidence: what material supports each key statement?
If the token story runs ahead of the product, we flag the gap. Your team can review it before using the language. If team members describe the agent differently, we bring those versions into one account. Your product reviewer confirms technical details before use.
For a closely related page, see AI agent and token marketing. Before kickoff, gather approved token language and one current product description. These give us a usable starting point. They also keep planned features separate from working ones.
3 demo pieces make an AI agent easier to inspect
3 pieces give a demo a useful shape: a representative task, a clear interaction and an understandable outcome. The format follows your product. It also follows the material your team can share.
We can prepare a scripted walkthrough, visual assets or other agreed demo materials. First, we confirm what the agent can show. Then we order the interaction. Viewers can follow the input, the agent’s action and the result.
Prepare these 4 inputs before demo review:
- Product access, a recording, or a clear feature description.
- One user task the demo should illustrate.
- Approved language for current and planned capabilities.
- A technical contact who can check the walkthrough.
Use a simple quality check: can viewers identify the input, the agent’s role and the result? If one part is vague, revise the walkthrough first. Add more promotion after that. Community guidance can then refer to the same product explanation. See community growth and engagement for related support.
5 handoffs connect the AI-agent work
5 handoffs take the work from the first message through the final report. Each one gives your team a review point. The next set of materials moves forward after that check.
- Send product context: Share the agent description, token information, demo material and launch priority.
- Review the narrative: We draft the project story from your materials. We flag claims needing clarification.
- Confirm the demo: We plan a representative task. Your technical contact verifies its details.
- Prepare community guidance: We map discussion themes, common answers and escalation routes.
- Check the reporting: Regular reports summarize engagement and audience questions. Your team can use them to assess the work.
Name one person to approve the narrative. Name one technical reviewer, too. That keeps feedback focused. It also helps catch conflicting details early. For continuing launch support, see growth marketing support or PR and media.
A written quote follows within 2 working days of input review. Work starts within 24 hours of confirmed payment.
Which AI visibility decisions stay with platforms?
3 calls stay outside our hands: platform policies and editorial choices. Search engines and AI models also decide how they rank or display content. We can verify the claims, assets and reports we deliver. We cannot control those third-party decisions.
Your team can still make the work easier to review. Send these 4 inputs:
- A current product description.
- Token context and approved language.
- Demo access or a recording.
- Your launch question and review contacts.
We use those inputs to prepare the narrative, demo materials and community guidance. Your team can then review each item. If AI-search visibility is part of the plan, see AI search visibility.
Send us the product description, token context, demo material and target launch window. We’ll review those inputs and return a written plan for your team.
How it works
- Send the product contextShare the agent description, token context, demo material and launch priority. Name your narrative approver and technical reviewer.
- Set the narrativeWe shape a clear project story from your materials. We flag claims that need evidence or clarification.
- Plan the demoWe choose a representative user task. Then we build the walkthrough around current agent capabilities.
- Prepare community guidanceWe define discussion themes and response guidance. We also map routes for questions needing product-team review.
- Review the engagement reportRegular reporting summarizes engagement and audience questions. Your team can identify explanations that need work.
Frequently asked questions
What should we send first for AI-token marketing?
4 inputs make a useful start: a product description, token context, demo access or a recording, and your launch priority. Name one person who can approve the narrative. Add a technical contact who can confirm agent details. We review those materials before planning the narrative, demo and community guidance.
How do you show a prototype without implying it is live?
2 labels keep the demo accurate: what works now and what remains planned. We build the walkthrough from capabilities and materials your team confirms. A technical reviewer checks the interaction before use. That keeps a roadmap item from appearing as an available feature.
What belongs in the token story if its role is still changing?
3 points belong in the review: the agent’s current task, its intended user, and the token’s confirmed role. We mark unclear or changing details for your team to resolve. The narrative document can then separate confirmed information from points still needing approval.
What will the community report tell our team?
2 useful signals are engagement metrics and recurring audience questions. Regular reporting summarizes both. Your team can see what people discuss and where explanations may be unclear. Use those observations to refine community guidance and product communications, not as proof that the product has found its market.
Can an AI assistant feature or rank our project?
3 third-party decisions remain outside our control: platform policies and editorial choices. Search engines and AI models also decide how they rank or display content. We deliver the agreed narrative, demo assets, community guidelines and reporting. We don’t promise a particular recommendation, ranking or appearance.
Can we start with community guidance before producing a demo?
1 clear product description is enough to review the first community questions. We can map discussion themes, response guidance and escalation routes using capabilities your team confirms. When demo material becomes available, we can align community explanations with what viewers can actually see.
Tell us about your project
Answer four quick questions and a manager will send you a plan, timing and a price range within the hour. Everything stays confidential.
Loading the form…