Base draft
01
Generate Resume
Create a reusable resume draft from selected career records, roles, skills, projects, and outcomes.
Role-family structureAchievement-first bulletsReusable sections
Agentic career intelligence
An agentic layer for every career asset.
Credensa coordinates focused AI agents over saved career records to detect gaps, plan stronger proof, prepare role-specific assets, and keep resumes, applications, interviews, and portfolios aligned.
6
Agent passes
resume, fit, apply, prep
4
Career surfaces
resume, application, interview, portfolio
Live
Evidence memory
source material stays attached
Agentic capability map
One intelligence layer, multiple career agents.
Each agent reads selected career evidence, decides what needs attention, and prepares the right career surface for the next move.
Job match
02
Tailor for Job
Compare a target job post with saved evidence and adapt the resume language for that exact role.
Keyword alignmentMissing signal notesRole-specific wording
Fit map
03
Opportunity Fit
Map the strongest proof, weak areas, and positioning gaps before the user chooses how to apply.
Skill matchEvidence strengthNext improvements
Apply faster
04
Application Copilot
Draft cover-letter material, application answers, follow-up notes, and reusable outreach context.
Cover letterShort answersFollow-up notes
Practice set
05
Interview Prep
Turn a resume, target role, and saved projects into focused practice questions and answer context.
Role questionsProject storiesAnswer anchors
Public ready
06
Portfolio Refinement
Shape selected work into public-facing case-study language without exposing the private career record.
Case-study wordingImpact framingShareable proof
Agentic source routing
Agents route evidence before they write.
The agent layer reads the source, identifies the next useful action, and prepares the right career surface: resume, application, interview, or portfolio.
Agent reads the record
Credensa starts from selected roles, projects, skills, outcomes, resume sections, and target context.
Agent plans the next move
It detects the weakest claim, strongest evidence, missing signal, and best surface to prepare next.
Agent prepares the asset
It returns a resume draft, application angle, interview prompt set, or portfolio-ready version.
Resume agent output
base drafts and tailored versions
Application agent output
answers, cover letters, follow-ups
Interview agent output
practice questions and answer context
Portfolio agent output
case-study language and shareable proof
Agent reasoning signals
The agent knows what to improve next.
Career quality signals
Agent lens
From passive records to active career intelligence.
Credensa looks across the career record, identifies weak claims, finds stronger evidence, and prepares the next best version for the surface the user is working on.
RecordAnalyzeRefineReviewExport
Impact clarity
The agent checks whether a claim has a clear action, result, and signal.
ATS structure
Keeps resume structure scannable while preserving the evidence behind each section.
Role language
Matches target-role language to saved proof instead of rewriting from a blank prompt.
Missing evidence
Flags claims that need numbers, scope, outcome, or stronger project context.
Activate the record
Let the agent layer keep career assets moving.
Use Credensa to read saved proof, detect what is missing, prepare the next career asset, and keep every surface connected to the same evidence memory.