“calendar assistant that blocks focus time”
FocusBlocker 9000 (aka Tuesday's Already Dead)
You and 88% of everyone else. Congratulations on inventing the wheel.
“You just described Reclaim.ai's entire Series A pitch deck, word for word, in eight words.”
An AI agent that analyzes your calendar and automatically blocks protected focus time around existing meetings and commitments.
This is the canonical 'calendar AI' use case — it's the first thing every calendar startup builds. Reclaim.ai raised $23M doing exactly this. Clockwise was acquired by Typeface. Motion raised $5M. The concept is so well-explored that Google Calendar now natively suggests 'Focus Time' blocks. You are not early, you are late to a party that's already being cleaned up.
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Viability Analysis
Pros & Cons
What's going for it
What's against it
Who You're Up Against
Open Source Alternatives
When Will Big AI Kill This?
Most Likely Killer
Timeline: Already happening — Google Calendar's native Focus Time launched in 2021
How They'll Do It
They'll keep improving the native feature with Gemini AI, making it smarter and zero-cost for the 3 billion Workspace users who already have it
Your Survival Strategy
Go deep on a vertical Google will never care about — e.g., surgical scheduling, legal matter time, or academic semester rhythms — and own the workflow end-to-end
Confidence
If You're Crazy Enough to Build It
Solo Dev Time
2-3 weekends for an MVP, 3 months to match Reclaim's feature set (you won't)
Team Size
One developer who will question all their life choices by month two
Estimated Cost
$200-800/month infra at scale; $0 if you never get users, which is likely
Tech Stack
Agent-Readiness Score
Ready to scaffold today. FocusBlocker 9000 (aka Tuesday's Already Dead) could be a working prototype in a week.
- Memory ↗23/25
Stateless or single-session — minimal memory layer.
- Tools ↗11/25
Crowded market: at least 9 integrations to compete.
- Policy ↗14/25
Mid-size policy surface — define refusal categories before launch.
- Evals ↗23/25
Established eval pattern — golden datasets and public benchmarks already exist.
DETERMINISTIC SCORE — DERIVED FROM EXISTING ANALYSIS, NO SECOND LLM CALL
⚡ Ship it anyway
The version that survives
The bot says you're late. Fine. Here's the one version of this that isn't dead on arrival — if you're stubborn enough to build it.
The wedge that isn't taken
Build it exclusively for teams, not individuals — auto-negotiate org-wide 'no meeting' windows by analyzing everyone's calendar simultaneously. Reclaim is solo-first.
Test this before you write a line of code
That people actually WANT protected focus time enforced — most say yes in surveys, then resent the blocked slots when a meeting comes up.
The honest cost — and who should walk away
3 months, ~$5K in dev time. Do NOT build this if your target user is a solo knowledge worker — Reclaim already owns them completely.
Think the wedge holds? ↓ Pressure-test it live before you sink a weekend into it — 20 min, free, no signup.
🔥 Second opinion
Verdict says don’t. Want a second opinion from the human who built the roaster? 20 min, free.
We'll pressure-test the wedge above together — is that differentiator really still open, does the riskiest assumption survive contact, what to build first. No signup, no slides.
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A human (the person who built the roaster) reads it and emails you back — whether it's worth building, what to skip, and the fastest V0. No signup, no list.
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How this was generated
Production-readiness odds
Worth pursuing — but expect the production gap to be the long pole, not the prototype.
ANCHORED TO OUR OWN READINESS RUBRIC — NO EXTERNAL STAT CITED
🛡 Safety considerations
What these mean →Heuristic, not exhaustive. Surfaces the 3 biggest categories an operator should think about for this idea. Hover any chip for the mitigation pointer.
⚖ Governance checklist
7 controls applyThings to have in place before you ship. Pairs with the OWASP-style risk chips above — that catalog answers “what could go wrong?”, this one answers “what should you have ready?”
Audit trail of every tool call
criticalPersist a structured per-call log of inputs, outputs, and decisions for at least the legal retention window. Without this, post-incident review is impossible.
Role-based access control on the agent surface
criticalDifferent users, different scopes. The agent should never default to "admin can do everything." Pair with per-task capability scoping.
Tenant / workspace isolation
criticalA multi-tenant agent must never leak data across tenants in either direction (inputs OR cached intermediate state).
Secrets management
highTokens and API keys live in a vault, not in env vars on a CI runner. Rotate on a documented schedule, not "when something happens."
Eval coverage on every release
highA frozen eval suite that runs on every model / prompt change. "It worked when I demoed it" is not a release gate.
Per-user / per-tenant rate limits
mediumAgent loops are pathologically expensive when wrong. Cap tokens-per-session, tool-calls-per-session, and dollars-per-day before launch.
Pin model versions; track the changelog
mediumA silent provider-side model upgrade can shift behavior overnight. Pin to a versioned model ID; subscribe to the provider changelog.
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🛠 Build this with Claude Code
Skip the boilerplate. Start from a working spec.
We've packaged this idea into a CLAUDE.md + scaffold.sh starter — the problem statement, agent-readiness sub-scores, suggested tools, and smoke evals, all deterministic and ready to drop into a fresh repo. Open it in Claude Code, or copy the markdown into any IDE.
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