One Week After Release — AI Operations Secretary Tasukiba's Phase 2/3 Roadmap
One week of operation made the picture sharper than I expected
It’s been a little over a week since the June 1, 2026 release.
What surprised me: the “next six months” I’d sketched vaguely before release came into focus after just one week of operation. Early-user behavior, the first feedback in, log patterns showing “fix this one thing and a lot gets easier” — when I wrote it all out, the roadmap stood up much more crisply than I’d expected.
The thing worth holding in mind, though, is the obvious one that gets missed: release isn’t “the end” — it’s “Phase 1 complete.” Phase 2 and Phase 3 are queued behind it.
Today opens Chapter L — post-release and roadmap. First topic: the Phase 2 / Phase 3 / beyond picture Tasukiba Knowledge Relay is drawing. I’m separating what I’m now confident I’ll do (after a week of operation) from what I’m honestly leaving open (“priority may shift”).
The overall map
The release plan has three phases.
| Phase | Window | Main milestones |
|---|---|---|
| Phase 1 (MVP) | through 2026-06-01 | Suggestion engine / chat semantic search / “Why?” feature (LLM re-ranking) / multi-tenant / billing foundation |
| Phase 2 | release through 6 months | Stripe live billing / Dogfooding feedback / accuracy tuning |
| Phase 3 | 6 months through 2 years | Multilingual / public API |
Capability expands step by step. All three signature features (suggestions, chat semantic search, “Why?”) shipped at release.
Phase 1 (MVP) — what’s live at release
What runs as of release:
- Multi-tenant foundation (tenant creation / member management / system roles / project roles)
- Project management (7-state one-way state machine / WBS / Gantt / task CSV import)
- Asset management (knowledge / risks / issues / retrospectives / memos / attachments / visibility control)
- Suggestion engine v1 (3-axis weighted score / Voyage embedding + pgvector / Graceful Degradation Mode)
- Chat semantic search (pull past assets in natural language from the owl FAB at the bottom-right of every dashboard page)
- “Why?” feature / LLM re-ranking (adds a “why is this related” explanation to suggestion candidates; Pro-only, Claude Sonnet)
- Auth / security (NextAuth Credentials + MFA TOTP / tokenVersion multi-layer defense / security score 90/100 enforced)
- Billing foundation (per-API-call usage billing / embedding usage billing / DB and file usage billing / ApiCallLog source of truth / Stripe Metered Billing wiring ready)
MVP-complete on the business-SaaS basics and all three signature features.
Phase 2 — within six months
1. Refining chat semantic search (the feature itself already shipped)
Phase 1’s suggestion engine took structured input (project purpose/background/scope). At release, we also shipped chat semantic search, which widens that input to natural-language chat (available from the owl FAB at the bottom-right of every dashboard page).
The experience:
User: “Wasn’t there a retrospective last month about resource shortage?”
Chat: “Here’s the matching retrospective:
- 2026-03-15: Sprint 5 retrospective
‘QA resources were short, test phase slipped’ Related risk: R-005 (resource estimation accuracy) Related knowledge: K-012 (criteria for introducing QA automation)”
Natural-language queries surface past assets — extending the suggestion engine in B-2 from structured forms to dialogue, and it’s already live. See the chat semantic search deep-dive for details. In Phase 2, the work here is search-accuracy tuning and UI refinement.
2. Stripe live billing
Phase 1 built the Stripe wiring, but production runs on manual invoice operations (risk hedge).
Phase 2:
- Acquire Stripe production account
- Identity verification, bank account registration
- Webhook connection (live)
- Migrate initial tenants to automatic billing
— reach “fully operational commercial SaaS.”
3. Dogfooding feedback
Post-release, I’ll be using Tasukiba for my own project management. Feedback from that goes back into Phase 2:
- Suggestion engine precision tuning
- UI improvements
- Bug fixes
- Feature request evaluation
This is the largest fuel source for Phase 2.
Phase 3 — six months through two years
1. Multilingual
Phase 1 is Japanese only. Phase 3 puts English support on the table.
- UI translation
- Voyage embeddings are already multilingual (mixed JA/EN OK in the same model)
- Re-evaluate suggestion accuracy under multilingual conditions
2. Public API
Open Tasukiba’s API for external system integration.
- REST API (OpenAPI schema)
- Auth: API Key + OAuth2
- Use cases:
- Call suggestions from an existing PM tool
- Hit Tasukiba from Slack / Teams chat
- Custom integrations (BPM / ERP)
Public API widens Tasukiba’s ecosystem.
Beyond Phase 3
Past three phases, with no fixed dates:
- AI agent (operate Tasukiba via API as an agent)
- Industry-specific templates (construction, manufacturing, SaaS dev)
- Automated CSAT / NPS integration
- Auto-categorization of knowledge + auto-generated reports
These get prioritized by Phase 1–3 progress and user feedback.
Why I publish the roadmap
Tasukiba publishes the roadmap.
Three reasons:
- Users can predict “when does this feature show up?”
- Users can decide “if I need this feature, I should pick another service”
- Transparency builds trust
A lot of SaaS treats the roadmap as confidential. Tasukiba walks the other way. Same root as “the UI doesn’t lie” in B-4.
”The roadmap isn’t a promise” — stated
That said, the roadmap isn’t a promise.
- User feedback shifts priorities
- Technical discoveries surface new features
- Market changes force direction changes
The roadmap updates periodically, with this in mind.
Users get the explicit label: “the roadmap is a plan, not a commitment.” As A-3 said about ambiguity by domain, future plans are a domain where ambiguity functions as breathing room.
First 30 days checklist
The first 30 days post-release matter.
- Day 0: release day. Final production verification, Discord announcement
- Day 1–3: initial-user signup follow-up, support
- Day 4–7: usage-log analysis, catch unexpected behavior
- Day 8–14: ship the first feedback fixes
- Day 15–30: lock down the Phase 2 plan
That cadence sets up the post-release ops shape.
Summary
| Phase | Window | Content |
|---|---|---|
| Phase 1 (MVP) | through 2026-06-01 | Core capabilities + 3 signature features (suggestions / chat semantic search / “Why?”) |
| Phase 2 | through 6 months | Stripe live / Dogfooding / accuracy tuning |
| Phase 3 | through 2 years | Multilingual / public API |
| Beyond | TBD | AI agent / industry templates / ecosystem |
Stepwise phases mean value ships at every phase.
Tomorrow: Dogfooding plan — using my own service on my own projects. The center of Tasukiba’s strategy: “don’t sell what you don’t use yourself.”
Related posts
- Two-year monetization check, but the service doesn’t stop — series part 14, Chapter K close
- The suggestion feature — putting “the past you forgot” back on screen — the suggestion engine that became the foundation for all three signature features
- Return autonomy to the user — a UI with no gatekeeper — root of publishing the roadmap
About Tasukiba
Tasukiba Knowledge Relay keeps expanding after Phase 1. See the product page for the current feature set and roadmap.