DOCUMENTS FOR AI-NATIVE COMPANIES
Keep the session private. Shape and validate what belongs in the record, then publish a clear work page people can understand now and assistants can continue later.
Claude
CodexChatGPT
GeminiPRIVATE AI SESSION
“Keep the recommendation and evidence. Leave the customer details out.”
AUTHOR SHAPES · REVIEWS · PUBLISHES
RETENTION DECISION
Q2 churn concentrates in week-one drop-off.
Early churn is concentrated in one activation path. Fix the first session before spending more on acquisition.
VERDICT
Prioritise activation clarity for the next six weeks.
OWNER
Growth & Product
REVIEW DATE
01 SEPTEMBER
Source 01 · Cohort retention analysis: 62% of first-month churn follows an incomplete first session.
Fast to send. The conclusion stays buried in a thread only its author knows how to navigate.
Someone copies the summary into another tool, and the evidence and trade-offs get left behind.
Weeks later, another assistant gets the question without the conclusion, its sources, or the person meant to review it.
Valha is the deliberate publishing step after useful work is done with AI. It is not another place to expose the raw conversation.
Investigate, compare, and reach a useful outcome inside a compatible assistant. The working session stays private.
Tell the assistant what to emphasize or omit, then review the page before it becomes team material.
Send the selected work through Valha’s OAuth-protected MCP. Only the published, permissioned page leaves the private session.
ONE VALHA PAGE · 3 LAYERS
A Valha page keeps a polished reading surface, structured published context, and a reusable method together. People understand the work now, assistants continue it later, and future work reuses the approach.
PRIVATE AI SESSION
Explore freely. Publish selectively.
The working session stays private. The author chooses what belongs in the page.
AUTHOR-VALIDATED SELECTION
Conclusion · evidence · next move
01 · HUMAN LAYER
A readable narrative, useful visuals, evidence, and next steps for the people who need the work.
DECISION
BRING A LAYER FORWARD
EXAMPLE PAGES
Example 1 of 5: DATA REPORT
EXAMPLE01 / 05
HOW IT PLAYS OUT
A concrete entry point for AI-using teams, without making Valha a developer-only product.
01 · INVESTIGATE
They trace a customer issue, inspect usage data, and reach a supported explanation inside a private coding-assistant session.
02 · PUBLISH
The engineer keeps relevant facts, omits private details, validates the page, and shares it for internal understanding and discussion.
03 · REUSE
A future person or assistant can discover how the team retrieved and checked the data without reopening or exposing the original customer case.
Valha does not automatically contact the customer or publish the private investigation. Support decides how to use the reviewed internal page.
PRIVATE BY BOUNDARY · PUBLISHED BY CHOICE
Free covers individual publishing. Team adds private shared workspaces and validated memory. Enterprise adds governance and custom terms.
NO CREDIT CARD
Use the current publishing workflow with a piece of finished AI work.
€15
/ USER / MONTH
BILLED ANNUALLY · SAVE €48 / USER / YEAR
For organizations that want publishing, access, and reuse to become shared team practice.
CUSTOM PRICING
For larger organizations that need company-wide governance, access controls, and contractual terms.
No. Valha handles a specific handoff: finished AI work becoming a clear, durable page. Keep the tools your team already uses for their other jobs.
No. The session stays private. You choose what the page should emphasize or omit, review the result, and deliberately publish only the work that belongs in the team record.
The human layer is the readable page. The agent/context layer keeps enough published context to recover or continue the work. The reusable how-to layer distills the repeatable method without requiring the original particular case.
It works today with Claude, Codex, ChatGPT, and Gemini. Valha connects over OAuth-protected remote MCP rather than a provider-specific import, so any assistant that supports remote MCP connectors can publish. Exact setup and write support depend on what each host exposes.
Start with a report, incident review, decision, or analysis you would otherwise have to explain again in a meeting or rewrite for a teammate.
With the applicable access, an assistant can find relevant published work, cite the record it used, and continue with that context available.
Only content you deliberately publish, under the permissions you set. Permissions will keep getting more granular, but the rule underneath does not move: your working conversation is never the page.
Describe the recent AI-assisted work your team needed to hand off. Email the founder
Create a workspace, connect an assistant, and publish the useful work, not the private session.