DevelopersA coding agent that fixes it, tests it, and opens the PR
Reproduce the failure, fix it, and re-run until green — a local coding agent that self-corrects.
Local codeSelf-correct loopMCP Git
SOSam OkaforIndie Developer
See the demoUse Cases
Agent Quality Control
Let agents research, but make every claim traceable
Build a rubric, evidence matrix, risk flags, and human approval gate before the answer ships.
Engineering
CodingScheduled tasks~5 minJE
Meet
Jordan Ellis
Strategy Lead · a B2B SaaS scaleup
Jordan wants agents to speed up vendor research, but a confident paragraph without evidence is worse than no paragraph at all.
- Sources get mixed with assumptions.
- Stakeholders disagree on what quality means.
- Approvals happen in a separate doc after context is lost.
Prompts to try
Compare five AI agent products for a Friday exec review, and don't let anything unverified through. - Research each from official docs, pricing, and security pages — recent sources only - Build an evidence matrix: vendor × claim × source × risk flag - Run a quality gate: every claim needs a citation; flag stale or missing evidence - Package it into an exec-ready brief with the open questions called out Show me the flagged gaps before I take this into the review.
How MCPlato does it
- 1
Capture the real context
MCPlato first reads the local files, screenshots, comments, or schedules instead of generating blindly.
Browser research - 2
Clarify the constraints
It asks for audience, boundaries, budget, platform, or approval points so the job becomes runnable.
Charts - 3
Produce inspectable drafts
Images, charts, decks, captions, and evidence stay in the same workspace.
Browser researchCharts - 4
Let the human approve
Before posting, exporting, or continuing, MCPlato pauses at an explicit human approval point.
Human approval
The payoff
3-4
turns to refine the job
Traceable
Files, evidence, and decisions remain in the workspace
Shippable
Visuals, copy, decks, or lists ship after approval
Questions
Does this upload my files?
It is designed around your local workspace; browser research or publishing is shown as an explicit step.
Can the AI images be posted directly?
Use them as drafts first. For sports, artists, or brands, the workflow avoids official marks, real likenesses, and deceptive meet-up images.
Why does the demo use multiple user inputs?
The value is not one-shot generation; it is progressive clarification, quality control, and approval.
Can I swap in my own tools?
Yes. The localized examples use different platforms, but the workflow can target your folders, browser, spreadsheets, chat tools, or decks.
How does this help SEO?
Each case has its own URL, structured HowTo and FAQ data, and copy aligned to real search intent.
Related use cases
Related reading
Let agents research, but make every claim traceable
Build a rubric, evidence matrix, risk flags, and human approval gate before the answer ships.