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”).

👉 Tasukiba product page

The overall map

The release plan has three phases.

PhaseWindowMain milestones
Phase 1 (MVP)through 2026-06-01Suggestion engine / chat semantic search / “Why?” feature (LLM re-ranking) / multi-tenant / billing foundation
Phase 2release through 6 monthsStripe live billing / Dogfooding feedback / accuracy tuning
Phase 36 months through 2 yearsMultilingual / 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:

  1. Users can predict “when does this feature show up?”
  2. Users can decide “if I need this feature, I should pick another service”
  3. 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

PhaseWindowContent
Phase 1 (MVP)through 2026-06-01Core capabilities + 3 signature features (suggestions / chat semantic search / “Why?”)
Phase 2through 6 monthsStripe live / Dogfooding / accuracy tuning
Phase 3through 2 yearsMultilingual / public API
BeyondTBDAI 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.”

About Tasukiba

Tasukiba Knowledge Relay keeps expanding after Phase 1. See the product page for the current feature set and roadmap.

Contact

Feel free to reach out with any questions or feedback.

Get in touch
Tasukiba — The AI Operations Secretary for Knowledge & Project Management