Real project work, with the build status shown.
These portfolio systems and active client engagements show how MannaLabs researches, specifies, builds, tests, and safeguards AI automation. Each project separates what exists now from what still needs confirmation or production setup.
Evidence over claims
Every project description is tied to an existing specification, workflow source file, configured system, or recorded test. Planned work is never presented as a result.
Build status is explicit
Working prototypes, inactive deployments, tested workflow slices, and specification-only projects are labeled separately so you can see what exists today.
Client stage stays visible
Active client work is labeled as discovery or research, not presented as a completed case study. Private data and unverified outcomes remain excluded.
Portfolio and client projects
From working prototypes to active client discovery
No invented client results, anonymous testimonials, or projected metrics. The evidence and remaining boundary are included on every project.
B2B SaaS Demo Request Router
An inbound demo-request system that captures each request in Airtable, enriches the company, scores fit and urgency, assigns an available sales owner, and coordinates the handoff in Slack.
Problem addressed
Small sales teams lose the highest-intent response window when demo requests wait in forms, inboxes, or static CRM queues without ownership or an SLA.
Workflow path
Implemented evidence
Current boundary
Slack interactivity, real rep IDs, production CRM sync, activation, and a real end-to-end test remain pending.
AI GTM Lead Gen Engine
A signal-based outbound system that turns an ICP brief into researched and enriched accounts, grounded outreach drafts, a human approval queue, sequencer enrollment, and reply-state updates.
Problem addressed
Lean B2B teams cannot sustain account research manually, but automating generic send volume creates weak personalization and deliverability risk.
Workflow path
Implemented evidence
Current boundary
Synthetic production-path testing, credential audit, deliverability monitoring, and activation are still required before live outreach.
Social Autopilot
A creator research and scripting system that tracks content signals, scores outliers, converts the strongest opportunity into hooks and scripts, and writes the work into an Airtable content dashboard.
Problem addressed
Small teams and owner-creators often publish from guesswork because researching trends, identifying useful outliers, and turning them into on-brand scripts takes too much daily effort.
Workflow path
Implemented evidence
Current boundary
Live channel collection, asset generation, editing handoff, morning email, and dashboard deployment remain unfinished.
AI SEO Growth Engine
A research-to-publishing workflow designed to turn a topic into a sourced content brief, a human-reviewed draft, a claim-and-citation check, and a tracked publishing record.
Problem addressed
Lean marketing teams spend most of their content capacity on repetitive research, briefing, drafting, and source checking while still needing human editorial control.
Workflow path
Implemented evidence
Current boundary
No automation has been built or deployed. A SERP provider, SEO data provider, and target CMS must be selected first.
NewGen Outbound Research Assistant
A planned internal outbound assistant for NewGen that filters leads against an approved ICP, researches each company from public sources, drafts personalized LinkedIn outreach, and coordinates human review and follow-up tracking.
Problem addressed
Business-development research, qualification, message drafting, and follow-up are difficult to run consistently when the process is spread across lead tables and manual LinkedIn activity.
Workflow path
Implemented evidence
Current boundary
Project owner, lead source, exact ICP rules, approval channel, volume, credentials, sample data, and production activation are not yet confirmed.
Xcent.ai Consent-Based AI Calling Agent
A researched AI voice-agent direction for Xcent.ai focused on warm leads who explicitly request a demo or callback, with live qualification, product answers from approved knowledge, booking, and human transfer.
Problem addressed
A sales calling agent must respond naturally in real time while keeping consent, product claims, call actions, escalation, recording policy, and post-call operations deterministic and auditable.
Workflow path
Implemented evidence
Current boundary
The first project, owner, market, call purpose, consent proof, recording policy, telephony route, baseline, success target, and production access remain unconfirmed.
Client work
Shown honestly, without turning plans into results.
NewGen and Xcent.ai are included at their current engagement stages. Their cards describe confirmed direction and completed planning work, not production outcomes or client success metrics.