01
Long career histories
Arrange several roles, overlapping projects, older resumes, and supplementary notes into one chronological source before selecting content.
Kimi resume maker · Beta
Primary via OpenRouterBeta · connectivity verifiedOrganize a long career history before drafting.
This beta workflow starts with chronology and conflict resolution, then compresses only after the source record is reviewable.
Requested workflow
Start with Kimi Beta
No account or payment for the first Career DNA report. The original source file is discarded after extraction.
Direct answer
How should you create a resume with Kimi?
A useful Kimi resume maker workflow should use available context to preserve a long career record, not to blend it into one plausible story. Roles, projects, dates, locations, tools, and outcomes are indexed first. Contradictions remain open until the candidate resolves them. Only then does the workflow create a target-specific evidence window and compress older material with an auditable omission log.
Verified sourceOne targetVisible gapsHuman reviewATS-safe export
Where this workflow helps
Use Kimi for a specific editorial job—not as the source of your career facts.
02
Conflict resolution
Surface inconsistent dates, titles, metrics, or project ownership as questions instead of silently choosing the most convenient version.
03
Reversible compression
Shorten older or less relevant material while preserving an omission log that can be reviewed or restored for a different target.
Four controlled passes
The Kimi resume workflow
Each pass has one job. Keeping them separate makes omissions, unsupported claims, and target decisions easier to inspect.
Try the working upload tool →- 1
Index the full history
Create stable records for each role, project, education entry, credential, and source excerpt without polishing the language.
- 2
Resolve chronology conflicts
Compare overlapping sources and ask the candidate to confirm conflicting dates, titles, locations, ownership, and results.
- 3
Open a target evidence window
Choose the periods and projects relevant to one supplied job description while keeping the complete history available outside the draft.
- 4
Compress with an omission log
Draft the selected material, list every combined or omitted source record, and verify that no evidence crossed role or project boundaries.
Fictional transformation
Stronger wording comes after stronger evidence.
Fictional supply-chain program example. The regions, suppliers, spend, and timing are illustrative and must not be reused as candidate claims.
Weak source line
“Managed suppliers across multiple regions and improved the sourcing process.”
Recovered evidence
- Owned supplier onboarding for North America and Europe
- Reviewed 63 supplier records
- Standardized due-diligence checklist across 4 business units
- Average approval time changed from 19 to 11 business days
Evidence-rich draft
Standardized supplier due diligence across 4 business units while onboarding 63 North American and European suppliers, reducing average approval time from 19 to 11 business days.
Verification: Confirm ownership, supplier and business-unit counts, regional labels, measurement window, and whether standardization caused the approval-time change.
Copyable prompt
A safer Kimi resume prompt
This prompt is useful when you want to run the editorial pass yourself. Replace every bracketed field and inspect the review output before using the draft.
- Indexing and conflict resolution happen before target selection, so compression does not erase chronology problems.
- A target evidence window selects from the full record without deleting it.
- The omission log makes a short resume reversible for a later job application.
Act as a career-history archivist and constrained resume editor. Preserve chronology before compression.
SOURCE PACKET
[Paste role records, project notes, education, credentials, and older resume text. Give every source excerpt a stable ID.]
TARGET JOB
[Paste one job description. Treat it as the only target source.]
PHASE 1 — HISTORY INDEX
Return one record per employer, role, project, education entry, and credential. Preserve exact names, dates, locations, tools, numbers, and source IDs. Do not improve wording.
PHASE 2 — CONFLICT REGISTER
List conflicting or overlapping dates, titles, employers, project ownership, metrics, and outcomes. Do not resolve a conflict by probability. Convert it into a candidate question.
PHASE 3 — TARGET WINDOW
Identify the source records most relevant to the supplied target. Label direct evidence, transferable evidence, missing evidence, and hard requirements that remain unverified.
PHASE 4 — DRAFT AND OMISSION LOG
Draft an ATS-readable Summary, Skills, Experience, Education, and relevant Projects section. Attach source IDs to every sentence. Then list every source record that was retained, compressed, combined, omitted, or unresolved.
RULES
- Never invent or alter a date, title, employer, project, credential, tool, number, location, level, or causal outcome.
- Never merge facts across roles or projects.
- Preserve exact named entities and numeric surfaces.
- Use [QUESTION] when chronology or ownership is unresolved.
- Exclude unresolved evidence from the export-ready draft.
FINAL CHECK
Compare every draft sentence with its cited source IDs and remove any detail that is not fully supported.What the model does not solve
A model can draft the words. The product still has to protect the evidence.
01
More context does not settle contradictions
If two sources disagree, the system must ask the candidate rather than choosing a title, date, or metric because it appears more often.
02
Compression can create false continuity
Combining responsibilities from distant roles can imply uninterrupted ownership. Role and project boundaries must remain explicit.
03
A long source packet still needs consent
Candidates should supply only material they are authorized to use and review the extracted record before any target-specific generation.
Routing and fallback contract
One requested workflow. Every actual route disclosed.
moonshotai/kimi-k2.5 through OpenRouter is the primary route. OpenRouter is the gateway, not the model provider, and this is not an official Kimi product session or a direct Moonshot AI API connection.
Requested workflow
Kimi
Primary execution model
moonshotai/kimi-k2.5
Primary gateway
OpenRouter provider-specific routing
Primary privacy controls
AI text stages: ZDR required · data collection deny
Configured fallback
GLM · used only when the primary route cannot complete
A known provider Terms of Service restriction, payment or credit failure, rate limiting, timeout, upstream failure, or invalid structured output can move a stage to the configured GLM fallback. Session provenance records the execution gateway, returned model identity, and provider identity when reported. When GLM completes a stage, it is labeled as GLM rather than Kimi. OpenRouter ZDR and data-collection controls apply only to the OpenRouter primary route, not to the GLM fallback. The fallback and separate image or scanned-PDF OCR paths are described in the Privacy Policy.
Kimi resume FAQ
Before you upload
Is the Kimi resume maker workflow live?
Yes, as a beta workflow. It requests moonshotai/kimi-k2.5 through OpenRouter and may use the disclosed GLM fallback. The route passed a minimal connectivity check but still needs broader long-history fixture evaluation.
Can it combine several old resumes automatically?
The workflow can organize text from a source packet, but contradictory dates, titles, metrics, or ownership must be confirmed by the candidate before drafting. It must not silently pick one version.
What route does the Kimi beta use?
It requests moonshotai/kimi-k2.5 through OpenRouter under explicit data-collection and execution-provenance controls. It is not a Kimi product session or a direct Moonshot AI API connection.
Does a larger context window guarantee a better resume?
No. More source material can preserve useful history, but relevance, chronology, evidence quality, and human verification still determine whether the final resume is accurate and focused.
Is My Best Resume affiliated with Kimi or Moonshot AI?
No. My Best Resume is independent. Kimi and Moonshot AI are trademarks of their respective owner and are referenced only to identify the workflow.
Method and sources
Product behavior first. Model claims second.
This page documents the primary model route, configured GLM fallback, and evidence controls used by My Best Resume. It does not publish quality rankings, hiring claims, or provider comparisons. The same fictional fixture set is used for release-candidate review before routing changes reach production; candidates must still verify every generated claim.
- Kimi — Resume MakerOfficial Kimi workflow material reviewed to distinguish this evidence-led beta from a general chat-based resume maker.
- Kimi API Platform — Prompt best practicesOfficial guidance reviewed for reference-text, explicit-step, and long-document prompting boundaries.
- My Best Resume — Evidence and editorial methodHow source facts, interpretations, gaps, and human review remain separate.
- My Best Resume — Privacy PolicyCurrent rules for upload processing, extracted text, and session retention.
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Build the Career Profile before you ask any model to write.
Upload once, see the first Career DNA report for free, then choose the target and verify every generated claim.