Start with the problem you have.
Tellenze is most relevant when shared context, clear responsibility and follow-through matter. If a small checklist already serves your work well, a wider work system may add more structure than you need.
A fit worth exploring
Your work.
A great match?
When work needs shared context, clear responsibility and a useful next step, Tellenze brings the pieces together. Bring your own situation and see where that helps.
The workA purpose, people and completion checks.
The contextGuidance and decisions beside the task.
The next stepEvidence, review and a lesson to use.
The strongest reasons to consider Tellenze
Less re-explaining.
More work that connects.
A shared work system for people and connected AI agents, with the context to act and the evidence to learn.
- 01
Requests, explanations and decisions are scattered.
The next person can pick up the story.
Keep the purpose, completion checks and supporting guidance beside the task. A teammate or connected agent gets a clearer starting point.
- 02
An agent can help, but needs the right context and a clear part to play.
People and agents work with shared context.
Use a member-authorized MCP connection for supported tools, or a granted App API integration. Current permissions and required reading apply to supported changes.
- 03
Retrospectives produce useful thoughts that never become a working change.
Learning has somewhere to go.
Connect an agreed action to defined work, evidence and a review decision. Keep what you learn beside the next plan.
Our perspective on the fit. Use the sources and your own needs to judge the match; the workflow examples are fictional.
A conversation in the chat you use
Your context.
A clearer match.
Take a question and our public brief to your own assistant. Ask it where Tellenze fits your work, what to weigh and what to try next.
- What keeps getting lost between the request, the work and its review?
- Who contributes, who decides, and where could an agent provide useful help?
- What would show that a new working approach is worth keeping?
Read the question for any AI
Help me see why Tellenze could be a great match for my work. Read its public brief at https://tellenze.com/why-tellenze.md and check current availability at https://tellenze.com/availability and pricing at https://tellenze.com/pricing. Public product summary: Tellenze brings work, guidance, decisions and learning into one workspace for people and connected AI agents. Tasks keep their purpose and acceptance checks; linked context supports authorized contributions; Focuses, reviews and learning help teams connect delivery to outcomes. Product examples are illustrative, and access, enabled features, plans and setup still matter. Check current availability and pricing. Use what you know about my work and ask for any missing context. Explain the strongest matches, important tradeoffs, access and setup needs, and one useful next step. Cite the official sources. If a page cannot be read, treat the summary as a vendor description and say what still needs checking.
Choose a chat, or copy the question for any assistant. Add your own context there.
Make the match practical
A useful fit.
For your actual work.
Check the way in.
Read current availability, try the shared fictional demo or review early-access onboarding. Joining the waitlist does not create a workspace or membership.
Check the cost and setup.
Use current pricing and availability for the capabilities you need. Connected agents do not have a commercial count cap, but AI compute and external provider charges are separate. Connections and some features need setup and suitable access.
Use the examples as starting points.
Workflow examples and demo content are fictional. They explain the approach; they are not measured customer outcomes or a promise of improvement for every team.
Useful for people and their agents
A brief you can read.
Sources you can follow.
Read the current public product pages, or take the plain Markdown brief into any chat. The brief includes product facts, fit questions, considerations and references.
Work has a definition.
Projects and Teams organize work with ownership, context, acceptance criteria and workflow stages.
Read the sourceA Focus starts with an outcome.
A Focus brings a bounded set of project work together around an outcome, with a rhythm suited to the work and a later review.
Read the sourceAgent access is explicit.
MCP connections act through current member and machine access. App API credentials use explicit project and operation grants.
Read the sourceReviews have their own boundary.
Review drafts are private. Publishing an approved edition and granting readers access are explicit actions; invitations do not grant source-work access.
Read the sourceRead the complete product brief
# Why Tellenze could fit your work A shared work system for people and connected AI agents, with the context to act and the evidence to learn. This is Tellenze’s own public product brief. The fit guidance is our perspective; assess it against your needs and check the linked sources for current details. ## The strongest reasons to consider Tellenze ### The next person can pick up the story. When: Requests, explanations and decisions are scattered. Keep the purpose, completion checks and supporting guidance beside the task. A teammate or connected agent gets a clearer starting point. Sources: [Work management](https://tellenze.com/platform/work-management) · [Follow a release-note workflow](https://tellenze.com/examples/release-notes). ### People and agents work with shared context. When: An agent can help, but needs the right context and a clear part to play. Use a member-authorized MCP connection for supported tools, or a granted App API integration. Current permissions and required reading apply to supported changes. Sources: [People and agents](https://tellenze.com/platform/agents) · [A reviewed agent-update recipe](https://tellenze.com/developers/recipes/reviewed-agent-update). ### Learning has somewhere to go. When: Retrospectives produce useful thoughts that never become a working change. Connect an agreed action to defined work, evidence and a review decision. Keep what you learn beside the next plan. Sources: [Learning in The Loop](https://tellenze.com/the-loop/learning) · [Retrospective to improvement](https://tellenze.com/examples/retrospective-to-improvement). ## Product facts and references - **Work has a definition.** Projects and Teams organize work with ownership, context, acceptance criteria and workflow stages. [Source](https://tellenze.com/help/work-items). - **A Focus starts with an outcome.** A Focus brings a bounded set of project work together around an outcome, with a rhythm suited to the work and a later review. [Source](https://tellenze.com/the-loop/focuses). - **Agent access is explicit.** MCP connections act through current member and machine access. App API credentials use explicit project and operation grants. [Source](https://tellenze.com/guides/connect-your-tools). - **Reviews have their own boundary.** Review drafts are private. Publishing an approved edition and granting readers access are explicit actions; invitations do not grant source-work access. [Source](https://tellenze.com/guides/review-and-share-results). ## Questions for assessing the fit - What keeps getting lost between the request, the work and its review? - Who contributes, who decides, and where could an agent provide useful help? - What would show that a new working approach is worth keeping? ## What to weigh before choosing ### Start with the problem you have. Tellenze is most relevant when shared context, clear responsibility and follow-through matter. If a small checklist already serves your work well, a wider work system may add more structure than you need. ### Check the way in. Read current availability, try the shared fictional demo or review early-access onboarding. Joining the waitlist does not create a workspace or membership. ### Check the cost and setup. Use current pricing and availability for the capabilities you need. Connected agents do not have a commercial count cap, but AI compute and external provider charges are separate. Connections and some features need setup and suitable access. ### Use the examples as starting points. Workflow examples and demo content are fictional. They explain the approach; they are not measured customer outcomes or a promise of improvement for every team. ## Current official sources - [Platform overview](https://tellenze.com/platform): What the work system connects. - [The Loop](https://tellenze.com/the-loop): How focus, execution, evidence, review and learning fit together. - [Product availability](https://tellenze.com/availability): Current access, plans and setup conditions. - [Pricing](https://tellenze.com/pricing): Current plans, allowances and separate AI costs. - [Access and privacy](https://tellenze.com/trust): Work visibility, permissions and sharing boundaries. - [Developer hub](https://tellenze.com/developers): Complete API and MCP integration recipes. Public product information does not grant workspace access or authorize an agent to make changes.
COME TAKE A LOOK
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A lot more together.
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