GhostWriter by MyHandler vs Traccia: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of GhostWriter by MyHandler and Traccia — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
GhostWriter by MyHandler
MyHandler.ai
Windows writing assistant that reads the screen around your cursor on a hotkey double-tap and types a context-aware draft in your voice.
Key features
- Hotkey Double-Tap Drafting: No prompt or dictation is needed — a double-tap with the cursor in any text field triggers capture and drafting directly in place.
- Screen Context Capture: Reads the thread, form or partial sentence surrounding the cursor locally on the machine, using that on-screen context as the entire input.
- Writing Intent Classification: Determines whether the moment calls for a reply, a continuation, a filled-in answer or a fresh compose before writing a single word.
- Sender and Identity Mapping: Maps each message in a thread to its sender and works out which handle is the user's, so the draft answers the other party rather than the user's own words.
- Calendar Cross-Check: When a draft proposes a time, it is validated against the next two weeks of a connected calendar before the text appears.
- Selection Rewriting: Selecting existing text before the hotkey rewrites that selection instead of composing something new.
- Nothing Sent Automatically: The generated text appears at the cursor for the user to read, edit or delete; sending always remains a manual step.
- Local Vault with Zero-Retention Cloud: Capture runs against an encrypted vault on the user's own PC and the assembled context is processed by a zero-data-retention cloud model.
Best for
- Email Backlog: Clearing a queue of owed replies by drafting each one from the thread already on screen instead of retyping the same answer.
- Chat and Slack Replies: Answering a message in a team chat where the draft is grounded in who asked whom for what in the visible thread.
- Web Form Completion: Filling a blank answer box under a question on a web form or application without switching to a separate chat window.
- Sentence Continuation: Picking up a half-written paragraph exactly where it stops, without the assistant restating what was already typed.
- Meeting Scheduling Replies: Responding to a request for a time with a proposal that has already been checked against the user's calendar.
- Tone-Sensitive Rewrites: Selecting a blunt or rough draft and having it rewritten in the user's own voice before sending.
Traccia
Traccia
OpenTelemetry-native observability for AI agents that also enforces policy at runtime, with cost attribution and EU AI Act evidence export.
Key features
- Runtime Policy Enforcement: Tool call limits, restricted model lists and cost guards run as soft or hard blocks that stop an agent mid-execution, not just alert after the fact.
- Unified Agent Registry: One source of truth listing every agent across frameworks and environments with version, health, ownership and sync status, with zero code changes per agent.
- OpenTelemetry-Native Tracing: End-to-end spans over every LLM call, tool use and agent decision, exportable to the OTel tooling you already run.
- Cost and Token Attribution: Input, output and embedding tokens priced and computed locally at span end, rolled up per agent and per task to show top spenders.
- PII and Sensitive Data Detection: Detects exposure of customer data in agent traffic and masks it before export, with init(redact_pii=True) as the switch.
- Prompt Registry and Evals: Version prompts, grade candidates against datasets and scorers, compare pass rates against production and promote with evidence attached.
- Compliance Evidence Export: One command produces export-ready packs for EU AI Act Art. 12 governance, Art. 14 human review and Art. 50 disclosure, plus HIPAA PHI inventory and labeled exports.
- Single-Call Instrumentation: pip install traccia and one traccia.init() connects the registry and starts exporting traces across LangChain, CrewAI, OpenAI Agents SDK, AutoGen and LlamaIndex.
Best for
- Agent Fleet Visibility: Replace a mix of LangSmith, custom Grafana dashboards and spreadsheets with one view of every agent regardless of framework.
- LLM Spend Control: Find which agents and tasks are driving cost, then set hard spend caps that stop runaway loops before the invoice does.
- Regulated Deployment: Produce audit-ready EU AI Act or HIPAA evidence packs on demand instead of reconstructing them under deadline.
- Data Leak Prevention: Catch and mask PII in agent traces before it leaves the system, with critical violations surfaced as alerts.
- Prompt Change Management: Prove a candidate prompt beats production on a scored dataset before promoting it, with the experiment kept as evidence.
- Model Access Governance: Block agents from calling restricted or unapproved models at runtime across an entire workspace or organisation.