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Reviews of AI tools, agents and self-hosted software I have run on real work, the monthly token market, and notes from the homelab. Newest first.

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  1. Review, homelab

    Aider with local models through Ollama: two weeks on my own backlog

    Worth a trial.A 32B local model handles small, well-described edits; for refactors across files I still reach for a hosted model.

  2. Market

    AI token market, November 2026

    Takeaway:Output tokens still cost several times input across the hosted tiers; hosted open-weight models stay the cheap floor.

  3. Homelab

    Backups I actually test: restic, a second disk and a monthly restore drill

    Keep using.Boring, cheap and it restored everything I asked of it. The drill matters more than the tool.

  4. Review

    Letting a coding agent open its own pull requests for a week

    Skip for now.Review time ate the time it saved. Useful for dependency bumps, not for features.

  5. Market

    AI token market, October 2026

    Takeaway:Cached-input discounts now matter more than headline prices for agent workloads that resend the same context.

  6. Review, homelab

    Whisper on a CPU-only box: transcribing meetings overnight

    Keep using.Good enough for notes by morning. Far too slow for live captions without a GPU.

  7. Homelab

    From Docker Compose to single-node k3s, and back again

    Skip for now.Eleven services on one machine did not need a scheduler. Compose and a systemd timer were enough.

  8. Market

    AI token market, September 2026

    Takeaway:Batch pricing is the quiet bargain: if a job can wait a few hours, it usually costs about half.

  9. Review

    A self-hosted chat front end for a five-person team

    Worth a trial.Single sign-on and per-user spend limits worked; check the licence terms before you rebrand it.

Sample post list. Only the Aider review is written out in full on this build.